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AAAI-19录用论文清单_会议workshop会有文章列表吗

会议workshop会有文章列表吗

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AAAI-19于1月27日在夏威夷召开,今年是33届会议。
会议录用论文清单, workshop16个,tutorials24个。

标题的词云分析:
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作者单位词云(按作者人数计算/一篇文章可能有多个作者):
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picture from lonelyplanet.com

下面给出接收论文的列表:

第一个数字表示投稿的序号&内容可能有缺失

9:  CircConv:  A  Structured  Convolution  with  Low  Complexity  

40:  Deep  Single-­‐View  3D  Object  Reconstruction  with  Visual  Hull  Embedding  

56:  On  the  Optimal  Efficiency  of  Cost-­‐Algebraic  A*  

61:  Spatial-­‐Temporal  Person  Re-­‐identification  

65:  Look  Across  Elapse:  Disentangled  Representation  Learning  and  Photorealistic  Cross-­‐Age  Face  Synthesis  for  Age-­‐Invariant  Face  Recognition 

74:  Transferable  Curriculum  for  Weakly-­‐Supervised  Domain  Adaptation  

76:  Differential  Networks  for  Visual  Question  Answering  

81:  PhoneMD:  Learning  to  Diagnose  Parkinson's  Disease  from  Smartphone  Data  

83:  Fairly  Allocating  Many  Goods  with  Few  Queries  

115:  Disjunctive  Normal  Form  for  Multi-­‐Agent  Modal  Logics  Based  on  Logically  Separability  

119:  Weighted  Channel  Dropout  for  Regularization  of  Deep  Convolutional  Neural  Network  

134:  Be  Inaccurate  but  don’t  be  Indecisive:  How  Error  Distribution  Can  Affect  User  Experience  

135:  Evolving  Action  Abstractionsfor  Real-­‐Time  Planning  in  Extensive-­‐Form  Games  

136:  No-­‐reference  Image  Quality  Assessment  with  Reinforcement  Recursive  List-­‐wise  Ranking  

141:  Zero-­‐Shot  Object  Detection  with  Textual  Descriptions  

142:  Leveraging  Web  Semantic  Knowledge  in  Word  Representation  Learning  

143:  Pareto  Optimal  Allocation  under  Compact  Uncertain  Preferences  

149:  FANDA:  A  Novel  Approach  to  Perform  Follow-­‐up  Query  Analysis  

166:  Mirroring  Human  Manipulation  Actions  to  Robots  with  Functional  Equivalence  

176:  Object  Detection  based  on  Region  Decomposition  and  Assembly  

180:  Talking  Face  Generation  by  Adversarially  Disentangled  Audio-­‐Visual  Representation  

183:  Weighted  abstract  dialectical  frameworks  through  the  lens  of  approximation  fixpoint  

188:  Low-­‐Distortion  Social  Welfare  Functions  

189:  MetaStyle:  Three-­‐Way  Trade-­‐Off  Among  Speed,  Flexibility  and  Quality  in  Neural  Style  

209:  Word  Embedding  as  Maximum  A  Posteriori  Estimation  

231:  Blameworthiness  in  Strategic  Games  

233:  Disentangled  Variational  Representation  for  Heterogeneous  Face  Recognition  

234:  Learning  Resolution-­‐Invariant  Deep  Representations  for  Person  Re-­‐Identification  

235:  Sharper  Generalization  Bound  for  the  Divide-­‐and-­‐Conquer  Ridge  Regression  

236:  CAPNet:  Continuous  Approximation  Projection  for  3D  Point  Cloud  Reconstruction  Using  2D  

246:  Single-­‐Label  Multi-­‐Class  Image  Classification  by  Deep  Logistic  Regression  

272:  Disjoint  Label  Space  Transfer  Learning  with  Common  Factorised  Space  

277:  Revisiting  Spatial-­‐Temporal  Similarity:  A  Deep  Learning  Framework  for  Traffic  Prediction  

289:  Improving  Hypernymy  Prediction  via  Taxonomy  Enhanced  Adversarial  Learning  

298:  DeepChannel:  Salience  Estimation  by  Contrastive  Learning  for  Extractive  Document  

305:  Deep  Recurrent  Survival  Analysis  

314:  Safe  Partial  Diagnosis  from  Normal  Observations  

317:  Augmenting  Markov  Decision  Processes  with  Advising  

322:  Attention-­‐based  Multi-­‐Context  Guiding  for    Few-­‐Shot  Semantic  Segmentation  

323:  Deep  Video  Frame  Interpolation  using  Cyclic  Frame  Generation  

325:  Multi-­‐view  Information-­‐theoretic  Co-­‐clustering  for  Co-­‐occurrence  Data  

328:  How  Does  Knowledge  of  the  AUC  Constrain  the  Set  of  Possible  Ground-­‐truth  Labelings?  

330:  Sensitivity  Analysis  of  Deep  Neural  Networks  

332:  Migration  as  Submodular  Optimization  

333:  Scalable  Distributed  DL  Training:  Batching  Communication  and  Computation  

335:  Non-­‐Compensatory  Psychological  Models  for  Recommender  Systems  

353:  Deep  Interest  Evolution  Network  for  Click-­‐Through  Rate  Prediction  

362:  MFBO-­‐SSM:  Multi-­‐Fidelity  Bayesian  Optimization  for  Fast  Inference  in  State-­‐Space  Models  

372:  FRAME  Revisited:  An  Interpretation  View  Based  on  Particle  Evolution  

395:  RR-­‐GAN:  Single  Image  Rain  Removal  Without  Paired  Information  

403:  Unsupervised  Meta-­‐learning  of  Figure-­‐Ground  Segmentation  via  Imitating  Visual  Effects  

410:  MEAL:  Multi-­‐Model  Ensemble  via  Adversarial  Learning  

428:  TrafficPredict:  Trajectory  Prediction  for  Heterogeneous  Traffic-­‐Agents  

436:  Optimal  Surveillance  of  Covert  Networks  by  Minimizing  Inverse  Geodesic  Length  

444:  Tracking  Logical  Difference  in  Large-­‐Scale  Ontologies:  A  Forgetting-­‐Based  Approach    

451:  Solving  Imperfect-­‐Information  Games  with  Discounted  Counterfactual  Regret  Minimization  

464:  ScalMC:  Engineering  an  Efficient  Approximate  Model  Counter  

466:  Learning  Neural  Bag-­‐of-­‐Matrix-­‐Summarization  with  Riemannian  Network  

482:  Learning  Diffusions  without  Timestamps  

487:  Adversarial  Dropout  for  Recurrent  Neural  Networks  

503:  Convergence  of  Learning  Dynamics  in  Information  Retrieval  Games  

517:  Polynomial-­‐time  probabilistic  reasoning  with  partial  observations  via  implicit  learning  in  

518:  Adaptive  Sparse  Confidence-­‐Weighted  Learning  for  Online  Feature  Selection  

530:  Automated  Verification  of  Social  Laws  for  Continuous  Time  Multi-­‐Robot  Systems  

534:  Read,  Watch,  and  Move:  Reinforcement  Learning  for  Temporally  Grounding  Natural  

541:  A  Novel  Framework  for  Robustness  Analysis  of  Visual  QA  Models  

568:  Adversarial  Learning  for  Weakly-­‐Supervised  Social  Network  Alignment  

591:  Rotational  Diversity  in  Multi-­‐Cycle  Assignment  Problems  

595:  TallyQA:  Answering  Complex  Counting  Questions  

602:  Distributionally  Adversarial  Attack  

606:  ScisummNet:  A  Large  Annotated  Corpus  and  Content-­‐Impact  Models  for  Scientific  Paper  

607:  Object  Reachability  via  Swaps  along  a  Line  

610:  Recognizing  Unseen  Attribute-­‐Object  Pair  with  Generative  Model  

620:  Deep  Bayesian  Trust  :  A  Dominant  and  Fair  Incentive  Mechanism  for  Crowd  

629:  Knowledge-­‐Driven  Encode,  Retrieve,  Paraphrase  for  Medical  Image  Report  Generation  

644:  Video  Imprint  Segmentation  for  Temporal  Action  Detection  in  Untrimmed  Videos  

648:  Learning  to  Steer  by  Mimicking  Features  from  Heterogeneous  Auxiliary  Networks  

652:  On  Testing  of  Samplers  

669:  A^2-­‐Net:  Molecular  Structure  Estimation  for  Cryo-­‐EM  Density  Volumes  

672:  Template-­‐Based  Math  Word  Problem  Solvers  with  Recursive  Neural  Networks  

674:  Learning  to  Embed  Sentences  Using  Attentive  Recursive  Trees  

679:  On  the  Hardness  of  Probabilistic  Inference  Relaxations  

697:  Consensus  Adversarial  Domain  Adaptation  

700:  Towards  Optimal  Discrete  Online  Hashing  with  Balanced  Similarity  

702:  Determinantal  reinforcement  learning  

717:  Scene  Text  Recognition  from  Two-­‐Dimensional  Perspective  

721:  3D  Face  Synthesis  Driven  by  Personality  Impression    

723:  Perceptual-­‐Sensitive  GAN  for  Generating  Adversarial  Patches  

736:  DDFlow:  Learning  Optical  Flow  with  Unlabeled  Data  Distillation  

750:  Incorporating  Behavioral  Constraints  in  Online  AI  Systems    

753:  A  Deep  Reinforcement  Learning  Framework  for  Rebalancing  Dockless  Bike  Sharing  Systems  

754:  Data-­‐to-­‐Text  Generation  with  Content  Selection  and  Planning  

770:  How  many  preference  pairs  suffice  to  rank  a  graph  consistently?  

777:  Allocating  Search  Effort  When  Actions  Expire  

778:  Sentence-­‐wise  Smooth  Regularization  for  Sequence  to  Sequence  Learning  

779:  Sublinear  Time  Numerical  Linear  Algebra  for  Structured  Matrices  

782:  HSME:  Hypersphere  Manifold  Embedding  for  Visible  Thermal  Person  Re-­‐identification  

786:  Energy  Confused  Adversarial  Metric  Learning  for  Zero-­‐Shot  Image  Retrieval  and  Clustering  

787:  Spectral  Clustering  in  Heterogeneous  Information  Networks  

793:  Interaction-­‐aware  Factorization  Machines  

817:  Residual  Attribute  Attention  Network  for  Face  Image  Super-­‐Resolution  

844:  Certifying  the  True  Error:  Machine  Learning  in  Coq  with  Verified  Generalization  Guarantees  

846:  Differentially  Private  Empirical  Risk  Minimization  with  Smooth  Non-­‐convex  Loss  Functions:  

851:  Embedding  Uncertain  Knowledge  Graphs  

867:  Self-­‐Paced  Active  Learning:  Query  the  Right  Thing  at  the  Right  Time  

880:  Learning  a  Deep  Convolutional  Network  for  Colorization  in  Monochrome-­‐Color  Dual-­‐Lens  

881:  Fully  Convolutional  Network  with  Multi-­‐Step  Reinforcement  Learning  for  Image  Processing  

887:  G2C:  A  Generator-­‐to-­‐Classifier  Framework  Integrating  Multi-­‐Stained  Visual  Cues  for  

913:  Robustness  Can  Be  Cheap:  A  Highly  Efficient  Approach  to  Discover  Outliers  under  High  

915:  Hybrid  Attention-­‐based  Prototypical  Networks  for  Noisy  Few-­‐Shot  Relation  Classification  

930:  TransGate:  Knowledge  Graph  Embedding  with  Shared  Gate  Structure  

939:  Performance  Guarantees  for  Homomorphisms  beyond  Markov  Decision  Processes  

941:  Cross-­‐view  Local  Structure  Preserved  Diversity  and  Consensus  Learning  for  Multi-­‐view  

947:  Enriching  Non-­‐parametric  Bidirectional  Search  Algorithms  

956:  Cost-­‐Sensitive  Learning  to  Rank  

957:  Primarily  About  Primaries  

971:  Optimal  Projection  Guided  Transfer  Hashing  for  Image  Retrieval  

972:  Safeguarded  Dynamic  Label  Regression  for  Noisy  Supervision  

974:  Neural  Attentive  Model  for  Explainable  Recommendation  by  Learning  User  Dynamic  

985:  Learning  Basis  Representation  to  Refine  3D  Human  Pose  Estimations  

994:  Efficient  and  Effective  Incomplete  Multi-­‐view  Clustering  

1004:  Multi-­‐Dimensional  Classification  via  kNN  Feature  Augmentation  

1006:  Regular  Boardgames  

1010:  Learning  to  Localize  Objects  with  Noisy  Labeled  Instances  

1020:  To  Find  Where  You  Talk:  Temporal  Sentence  Localization  in  Video  with  Attention  Based  

1030:  One-­‐network  Adversarial  Fairness  

1031:  Spatiotemporal  Multi-­‐Graph  Convolution  Network  for  Ride-­‐hailing  Demand  Forecasting  

1036:  Traffic  Updates:  Saying  a  Lot  While  Revealing  a  Little  

1051:  Revenue  Enhancement  Via  Asymmetric  Signaling  in  Interdependent-­‐Value  Auctions  

1057:  Safe  Reinforcement  Learning  through  Barrier  Functions  for  Safety-­‐Critical  Continuous  

1068:  Horizontal  Pyramid  Matching  for  Person  Re-­‐identification  

1070:  STA:  Spatial-­‐Temporal  Attention  for  Large-­‐Scale  Video-­‐based  Person  Re-­‐Identification  

1076:  Multi-­‐scale  3D  Convolution  Network  for  Video  Based  Person  Re-­‐Identification  

1077:  Weakly-­‐Supervised  Simultaneous  Evidence  Identification  and  Segmentation  for  

1086:  Pathological  Evidence  Exploration  in  Deep  Retinal  Image  Diagnosis  

1097:  Cubic  LSTMs  for  Video  Prediction  

1105:  A  Deep  Cascade  Model  for  Multi-­‐Document  Reading  Comprehension  

1108:  Amalgamating  Knowledge  towards  Comprehensive  Classification  

1109:  Bounded  Suboptimal  Search  with  Learned  Heuristics  for  Multi-­‐Agent  Systems  

1110:  Similarity  Learning  via  Kernel  Preserving  Embedding  

1117:  Cross-­‐domain  Visual  Representations  via  Unsupervised  Graph  Alignment  

1121:  A  Bottom-­‐Up  Clustering  Approach  to  Unsupervised  Person  Re-­‐identification  

1127:  Tackling  Sparse  Rewards  in  Real-­‐Time  Games  with  Statistical  Forward  Planning  Methods  

1128:  3D  Object  Detection  Using  Scale  Invariant  and  Feature  Reweighting  Networks  

1147:  Complexity  of  Abstract  Argumentation  Under  a  Claim-­‐centric  View  

1150:  Unified  Embedding  Alignment  with  Missing  Views  Inferring  for  Incomplete  Multi-­‐View  

1157:  A  Hierarchical  Framework  for  Relation  Extraction  with  Reinforcement  Learning  

1158:  Modular  Materialisation  of  Datalog  Programs  

1169:  TransNFCM:  Translation-­‐Based  Neural  Fashion  Compatibility  Modeling  

1176:  Unsupervised  Fake  News  Detection  on  Social  Media:  A  Generative  Approach  

1177:  Deep  Bayesian  Optimization  on  Attributed  Graphs  

1181:  Deep  Latent  Generative  Models  For  Energy  Disaggregation  

1183:  Selective  Refinement  Network  for  High  Performance  Face  Detection  

1194:  GAMENet:  Graph  Augmented  MEmory  Networks  for  Recommending  Medication  

1199:  The  Kelly  Growth  Optimal  Portfolio  with  Ensemble  Learning  

1200:  Zero-­‐Shot  Adaptive  Transfer  for  Conversational  Language  Understanding  

1207:  ABox  Abduction  via  Forgetting  in  ALC  

1226:  Task  Transfer  by  Preference-­‐Based  Cost  Learning  

1233:  Free  VQA  Models  from  Knowledge  Inertia  by  Pairwise  Inconformity  Learning  

1239:  Mono3D++:  Monocular  3D  Vehicle  Detection  with  Two-­‐Scale  3D  Hypotheses  and  Task  

1240:  Video  Inpainting  by  Jointly  Learning  Temporal  Structure  and  Spatial  Details  

1245:  End-­‐to-­‐End  Knowledge-­‐Routed  Relational  Dialogue  System  for  Automatic  Diagnosis  

1248:  Pareto-­‐Optimal  Allocation  of  Indivisible  Goods  with  Connectivity  Constraints  

1250:  Joint  Semi-­‐supervised  Feature  Selection  and  Classification  Through  Bayesian  Approach  

1284:  RGBD  Based  Gaze  Estimation  via  Multi-­‐task  CNN  

1292:  GeniePath:  Graph  Neural  Networks  with  Adaptive  Receptive  Paths  

1296:  Balanced  Linear  Contextual  Bandits  

1303:  TopicEq:  A  Joint  Topic  and  Mathematical  Equation  Model  for  Scientific  Texts  

1304:  Induction  of  Non-­‐Monotonic  Logic  Programs  to  Explain  Boosted  Tree  Models  Using  LIME  

1312:  Balancing  Relevance  and  Diversity  in  Online  Bipartite  Matching  via  Submodularity  

1317:  Weakly  Supervised  Scene  Parsing  with  Point-­‐based  Distance  Metric  Learning  

1319:  Combining  Axiom  Injection  and  Knowledge  Base  Completion  for  Efficient  Natural  

1320:  Tile2Vec:  Unsupervised  representation  learning  for  spatially  distributed  data  

1321:  Spell  Once,  Summon  Anywhere:  A  Two-­‐Level  Open-­‐Vocabulary  Language  Model  

1332:  The  Pure  Price  of  Anarchy  of  Pool  Block  Withholding  Attacks  in  Bitcoin  Mining  

1335:  Deep  Reinforcement  Learning  for  Syntactic  Error  Repair  in  Student  Programs  

1336:  Switch-­‐based  Active  Deep  Dyna-­‐Q:  Efficient  Adaptive  Planning  for  Task-­‐Completion  

1346:  Recurrent  Attention  Model  for  Pedestrian  Attribute  Recognition  

1354:  Scaling-­‐up  Split-­‐Merge  MCMC  with  Locality  Sensitive  Sampling  (LSS)  

1365:  Combo-­‐Action:  Training  Agent  For  FPS  Game  with  Auxiliary  Tasks  

1369:  Robust  Metric  Learning  on  Grassmann  Manifolds  with  Generalization  Guarantees  

1370:  Functional  Connectivity  Network  Analysis  with  Discriminative  Hub  Detection  for  Brain  

1384:  Exploiting  Coarse-­‐to-­‐Fine  Task  Transfer  for  Aspect-­‐level  Sentiment  Classification  

1386:  Feature  Sampling  based  Unsupervised  Semantic  Clustering  for  Real  Web  Multi-­‐view  

1395:  Virtual-­‐Taobao:  Virtualizing  Real-­‐world  Online  Retail  Environment  for  Reinforcement  

1396:  Cycle-­‐SUM:  Cycle-­‐consistent  Adversarial  LSTM  Networks  for  Unsupervised  Video  

1399:  A  Dual  Attention  Network  with  Semantic  Embedding  for  Few-­‐shot  Learning  

1405:  An  Axiomatic  Approach  to  Rationality  for  Reinforcement  Learning  Agents  

1407:  Heterogeneous  Transfer  Learning  via  Deep  Matrix  Completion  with  Adversarial  Kernel  

1410:  Hierarchical  Attention  Network  for  Image  Captioning  

1411:  Bootstrap  Estimated  Uncertainty  of  the  Environment  Model  for  Model-­‐based  

1437:  Real-­‐time  Planning  as  Decision-­‐making  Under  Uncertainty  

1449:  Adversarial  Label  Learning  

1450:  Temporal  anomaly  detection:  calibrating  the  surprise  

1456:  RSA:  Byzantine-­‐Robust  Stochastic  Aggregation  Methods  for  Distributed  Learning  from  

1457:  Predicting  Hurricane  Trajectories  using  a  Recurrent  Neural  Network  

1460:  Diverse  Exploration  via  Conjugate  Policies  for  Policy  Gradient  Methods  

1468:  The  Goldilocks  zone:  Towards  better  understanding  of  neural  network  loss  landscapes  

1469:  Learning  to  Compose  Topic-­‐Aware  Mixture  of  Experts  for  Zero-­‐Shot  Video  Captioning  

1480:  Bayesian  posterior  approximation  via  greedy  particle  optimization  

1483:  ActivityNet-­‐QA:  A  Dataset  for  Understanding  Complex  Web  Videos  via  Question  

1484:  Gaussian  Transformer:  a  Lightweight  Approach  for  Natural  Language  Inference  

1496:  Knowledge  Distillation  with  Adversarial  Samples  Supporting  Decision  Boundary  

1497:  Less  but  Better:  Generalization  Enhancement  of  Ordinal  Embedding  via  Distributional  

1498:  TET-­‐GAN:  Text  Effects  Transfer  via  Stylization  and  Destylization  

1504:  Randomized  Wagering  Mechanisms  

1506:  Hypergraph  Neural  Networks  

1512:  Knowledge  Transfer  via  Distillation  of  Activation  Boundaries  Formed  by  Hidden  Neurons  

1534:  Cognitive  Deficit  of  Deep  Learning  in  Numerosity  

1538:  Online  Pandora's  Boxes  and  Bandits  

1553:  Fast  Incremental  SVDD  Learning  Algorithm  with  the  Gaussian  Kernel  

1557:  Projection  Convolutional  Neural  Networks  

1562:  StNet:  Local  and  Global  Spatial-­‐Temporal  Modeling  for  Action  Recognition  

1568:  Mutigrid  Backprojection  Super-­‐Resolution  and  Deep  Filter  Visualization  

1575:  Capacity  Control  of  ReLU  Neural  Networks  by  Basis-­‐path  Norm  

1576:  3D  Volumetric  Modeling  with  Introspective  Neural  Networks  

1578:  Point  Cloud  Processing  via  Recurrent  Set  Encoding  

1604:  When  Do  Envy-­‐Free  Allocations  Exist?  

1609:  Stochastic  Submodular  Maximization  with  Performance-­‐Dependent  Item  Costs  

1610:  Learning  Personalized  End-­‐to-­‐End  Goal-­‐Oriented  Dialog  

1614:  Adaptive  Region  Embedding  for  Text  Classification  

1620:  Soft  Facial  Landmark  Detection  by  Label  Distribution  Learning  

1627:  Constrained  Generation  via  Metropolis-­‐Hastings  Sampling  

1636:  LiveBot:  Generating  Live  Video  Comments  Based  on  Visual  and  Textual  Contexts  

1646:  Simulation-­‐Based  Approach  to  Efficient  Commonsense  Reasoning  in  Very  Large  

1652:  On  Fair  Cost  Sharing  Games  in  Machine  Learning  

1679:  DAN  :  Deep  Attention  Neural  Network  for  News  Recommendation  

1680:  Kernelized  Hashcode  Representations  for  Biomedical  Relation  Extraction  

1681:  TAPAS:  Train-­‐less  Accuracy  Predictor  forArchitecture  Search  

1707:  Densely  Supervised  Grasp  Detector  (DSGD)  

1715:  Outlier  Aware  Network  Embedding  for  Attributed  Networks  

1717:  Human  Action  Transfer  Based  on  3D  Model  Reconstruction  

1722:  Classification  with  Costly  Features  using  Deep  Reinforcement  Learning  

1723:  Scene  Text  Detection  with  Supervised  Pyramid  Context  Network  

1734:  Verifying  Robustness  of  Gradient  Boosting  Models  

1744:  On  Structural  Causal  Bandit  with  Non-­‐manipulable  Variables  

1747:  BLOCK:  Bilinear  Superdiagonal  Fusion  for  Visual  Question  Answering  and  Visual  

1748:  Gradient  Harmonized  Single-­‐stage  Detector  

1750:  Non-­‐Local  Context  Encoder:  Robust  Biomedical  Image  Segmentation  against  Adversarial  

1754:  A  Two-­‐Stream  Mutual  Attention  Network  for  Semi-­‐supervised  Biomedical  Segmentation  

1760:  Block  Belief  Propagation  for  Parameter  Learning  in  Markov  Random  Fields  

1769:  Structured  and  Sparse  Annotations  for  Image  Emotion  Distribution  Learning  

1790:  Deep  Reinforcement  Learning  for  Green  Security  Games  with  Real-­‐Time  Information  

1799:  Variance  Reduction  in  Monte  Carlo  Regret  Minimization  for  Extensive  Games  using  

1802:  Model-­‐Free  IRL  using  Maximum  Likelihood  Estimation  

1806:  Self-­‐Supervised  Video  Representation  Learning  with  Space-­‐Time  Cubic  Puzzles  

1830:  Partial  Awareness  

1834:  Memory  Bounded  Open-­‐Loop  Planning  in  Large  POMDPs  using  Thompson  Sampling  

1838:  Finding  All  Bayesian  Network  Structures  within  a  Factor  of  Optimal  

1852:  Verification  of  RNN-­‐Based  Neural  Agent-­‐Environment  Systems  

1853:  ColNet:  Embedding  the  Semantics  of  Web  Tables  for  Column  Type  Prediction  

1855:  Estimating  the  Causal  Effect  from  Partially  Observed  Time  Series  

1858:  Understanding  Learned  Models  by  Identifying  Important  Features  at  the  Right  Resolution  

1863:  Graph  Convolutional  Networks  for  Text  Classification  

1871:  Distribution  Consistency  based    Covariance  Metric  Networks  for  Few  Shot  Learning  

1874:  Group  Decision  Diagram  (GDD):  A  Compact  Representation  for  Permutations  

1882:  DoPAMINE:  Double-­‐sided  Masked  CNN  for  Pixel  Adaptive  Multiplicative  Noise  

1897:  Modeling  Coherence  for  Discourse  Neural  Machine  Translation  

1902:  MR-­‐NET:  Exploiting  Mutual  Relation  for  Visual  Relationship  Detection  

1915:  Deeply  Fusing  Reviews  and  Contents  for  Cold  Start  Users  in  Cross-­‐Domain  

1916:  Transferable  Attention  for  Domain  Adaptation  

1919:  Selecting  Compliant  Agents  for  Opt-­‐in  Micro-­‐Tolling  

1924:  Non-­‐Autoregressive  Neural  Machine  Translation  with  Enhanced  Decoder  Input  

1925:  Towards  Sentence-­‐Level  Brain  Decoding  with  Distributed  Representations  

1933:  A  Human-­‐like  Semantic  Cognition  Network  for  Aspect-­‐level  Sentiment  Classification  

1935:  Synergistic  Image  and  Feature  Adaptation:  Towards  Cross-­‐Modality  Domain  Adaptation  

1939:  A  Unified  Approach  to  Online  Matching  with  Conflict-­‐Aware  Constraints  

1946:  A  Generic  Approach  for  Accelerating  Belief  Propagation  based  DCOP  Algorithms  via  A  

1951:  Non-­‐ergodic  Convergence  Analysis  of  Heavy-­‐Ball  Algorithms  

1955:  Joint  Dynamic  Pose  Image  and  Space  Time  Reversal  for  Human  Action  Recognition  from  

1960:  Training  Deep  Neural  Networks  in  Generations:  A  More  Tolerant  Teacher  Educates  Better  

1979:  Read  +  Verify:  Machine  Reading  Comprehension  with  Unanswerable  Questions  

1984:  Forming  Probably  Stable  Communities  with  Limited  Interactions  

1990:  From  Zero-­‐Shot  Learning  to  Cold-­‐Start  Recommendation  

1991:  Detect  or  Track:  Towards  Cost-­‐Effective  Video  Object  Detection/Tracking  

1993:  Segregated  Temporal  Assembly  Recurrent  Networks  for  Weakly  Supervised  Multiple  

2007:  Response  Generation  by    Context-­‐aware  Prototype  Editing  

2012:  Explicit  Interaction  Model  towards  Text  Classification  

2013:  A  Theoretically  Guaranteed  Deep  Optimization  Framework  for  Robust  Compressive  

2022:  Dictionary-­‐Guided  Editing  Networks  for  Paraphrase  Generation  

2024:  Unsupervised  Transfer  Learning  for  Spoken  Language  Understanding  in  Intelligent  Agents  

2025:  M2Det:  A  Single-­‐Shot  Object  detector  based  on  Multi-­‐Level  Feature  Pyramid  Network  

2036:  Leveraging  observations  in  bandits:  Between  risks  and  benefits  

2061:  Two-­‐Stage  Label  Embedding  via  Neural  Factorization  Machine  for  MultiLabel  

2065:  Towards  Highly  Accurate  and  Stable  Face  Alignment  for  High-­‐Resolution  Videos  

2070:  Backbone  Can  Not  be  Trained  at  Once:    Rolling  Back  to  Pre-­‐trained  Network  for  Person  

2071:  Super  Sparse  Convolutional  Neural  Networks  

2080:  Discriminative  Feature  Learning  for  Unsupervised  Video  Summarization  

2081:  SVM-­‐based  Deep  Stacking  Networks  

2087:  View  Inter-­‐Prediction  GAN:  Unsupervised  Representation  Learning  for  3D  Shapes  by  

2101:  MeshNet:  Mesh  Neural  Network  for  3D  Shape  Representation  

2109:  Clipped  Matrix  Completion:  a  Remedy  for  Ceiling  Effects  

2135:  Cousin  Network  Guided  Sketch  Recognition  via  Latent  Attribute  Warehouse  

2144:  The  Complexity  of  Computing  Fair  Knapsack  

2145:  Balanced  Sparsity  for  Efficient  DNN  Inference  on  GPU  

2158:  A  Two-­‐Individual  Based  Evolutionary  Algorithm  for  the  Flexible  Job  Shop  Scheduling  

2159:  Re2EMA:  Regularized  and  Reinitialized  Exponential  Moving  Average  for  Target  Model  

2170:  On  Rational  Delegations  in  Liquid  Democracy  

2186:  Probabilistic  Model  Checking  of  Robots  Deployed  in  Extreme  Environments  

2189:  Joint  Representation  Learning  for  Multi-­‐Modal  Transportation  Recommendation  

2190:  Active  Preference  Elicitation  based  on  Generalized  Gini  Functions:  Application  to  the  

2192:  Recurrent  Stacking  of  Layers  for  Compact  Neural  Machine  Translation  Models  

2198:  Dynamic  Compositionality  in  Recursive  Neural  Networks  with  Structure-­‐aware  Tag  

2201:  Memory-­‐Augmented  Temporal  Dynamic  Learning  for  Action  Recognition  

2210:  Calibrated  Stochastic  Gradient  Descent  for  Convolutional  Neural  Networks  

2230:  Video  Object  Detection  with  Locally-­‐Weighted  Deformable  Neighbors  

2254:  Fair  Division  with  a  Secretive  Agent    

2259:  Play  As  You  Like:  Timbre-­‐Enhanced  Multi-­‐modal  Music  Style  Transfer  

2277:  Temporal  Deformable  Convolutional  Encoder-­‐Decoder  Networks  for  Video  Captioning  

2278:  Visual-­‐semantic  Graph  Reasoning  for  Pedestrian  Attribute  Recognition  

2291:  Semantic  Relationships    Guided  Representation  Learning  for  Facial  Action  Unit  

2297:  Connecting  the  Digital  and  Physical  World:  Improving  the  Robustness  of  Adversarial  

2298:  Abstracting  Causal  Models  

2303:  Trainable  Undersampling  for  Class-­‐Imbalance  Learning  

2311:  On  Limited  Conjunctions  and  Partial  Features\\  in  Parameter-­‐tractable  Feature  Logics  

2326:  Scalable  and  Efficient      Pairwise  Learning  to  Achieve  Statistical  Accuracy  

2327:  Large-­‐scale  Interactive  Recommendation  with  Tree-­‐structured  Policy  Gradient  

2329:  Adversarial  Learning  of  Semantic  Relevance  in  Text  to  Image  Synthesis  

2331:  Unsupervised  Cross-­‐spectral  Stereo  Matching  by  Learning  to  Synthesize  

2333:  Goal-­‐oriented  Dialogue  Policy  Learning  from  Failures  

2340:    Incorporating  Commonsense  Knowledge  for  Story  Completion  

2344:  The  SpectACl  of  Nonconvex  Clustering:  A  Spectral  Approach  to  Density-­‐Based  Clustering  

2345:  CNN-­‐Cert:  An  Efficient  Framework  for  Certifying  Robustness  of  Convolutional  Neural  

2351:  Anytime  Recursive  Best-­‐First  Search  for  Bounding  Marginal  MAP  

2359:  Policy  Optimization  with  Model-­‐based  Explorations  

2371:  Unsupervised  learning  with  contrastive  latent  variable  models  

2372:  Semi-­‐Parametric  Sampling  for  Stochasitc  Bandits  with  Many  Arms  

2374:  Predicting  Urban  Dispersal  Events:  A  Two-­‐Stage  Framework  through  Deep  Survival  

2375:  Combining  Deep  Learning  and  Qualitative  Spatial  Reasoning  to  Learn  Complex  Structures  

2389:  Fully  Convolutional  Video  Captioning  with  Coarse-­‐to-­‐Fine  and  Inherited  Attention  

2391:  Optimal  approximation  of  discrete  random  variables  for  estimation  of  probabilities  for  

2399:  CAFE:  Adaptive  VDI  Workload  Prediction  with  Multi-­‐Grained  Features  

2402:  A  Better  Algorithm  for  Societal  Tradeoffs  

2405:  Very  Hard  Electoral  Control  Problems  

2407:  How  to  Combine  Tree-­‐Search  Methods  in  Reinforcement  Learning  

2409:  What  Should  I  Learn  First:  Introducing  LectureBank  for  NLP  Education  and  Prerequisite  

2416:  A  Unified  Framework  for  Planning  in  Adversarial  and  Cooperative  Environments  

2433:  State-­‐Augmentation  Transformations  for  Risk-­‐Sensitive  Reinforcement  Learning  

2458:  Eliminating  Latent  Discrimination:  Train  Then  Mask  

2477:  Number  Sequence  Prediction  Problems  for  Evaluating  Computational  Powers  of  Neural  

2483:  Scalable  Robust  Kidney  Exchange  

2485:  SepNE:  Bringing  Separability  to  Network  Embedding  

2498:  Improving  Natural  Language  Inference  Using  External  Knowledge  in  the  Science  

2508:    Learning  Anytime  Predictions  in  Neural  Networks  via  Adaptive  Loss  Balancing  

2511:  Evolution  of  collective  fairness  in  hybrid  populations  of  humans  and  agents  

2522:  Knowledge  Refinement  via  Rule  Selection  

2527:  Defending  Elections  Against  Malicious  Spread  of  Misinformation  

2545:  Learning  to  Teach  in  Cooperative  Multiagent  Reinforcement  Learning  

2553:  Image  Block  Augmentation  for  One-­‐Shot  Learning  

2571:  Online  Embedding  Compression  for  Text  Classification  using  Low  Rank  Matrix  

2579:  Robust  Anomaly  Detection  in  Videos  using  Multilevel  Representations  

2590:  Adversarial  Training  for  Community  Question  Answer  Selection  Based  on  Multi-­‐scale  

2603:  Y^2Seq2Seq:  Cross-­‐Modal  Representation  Learning  for  3D  Shape  and  Text  by  Joint  

2614:  Tensorial    Change  Analysis  using  Probabilistic  Tensor  Regression  

2638:  Point2Sequence:  Learning  the  Shape  Representation  of  3D  Point  Clouds  with  an  

2645:  Asynchronous  Delay-­‐Aware  Accelerated  Proximal  Coordinate  Descent  for  Nonconvex  

2649:  Sparse  Adversarial  Perturbations  for  Videos  

2650:  CISI-­‐net:  Explicit  latent  content  inference  and  imitated  style  rendering  for  image  

2651:  EA  Reader:  Enhance  Attentive  Reader  for  Cloze-­‐Style  Question  Answering  via  Multi-­‐Space  

2665:  Almost  Unsupervised  Learning  for  Dense  Crowd  Counting  

2673:  Subspace  Selection  via  DR-­‐Submodular  Maximization  on  Lattices  

2680:  Distribution-­‐based  Semi-­‐Supervised  Learning  for  Activity  Recognition  

2683:  A  distillation  approach  to  data  efficient  individual  treatment  effect  estimation    

2685:  Logic  Attention  Based  Neighborhood  Aggregation  for  Inductive  Knowledge  Graph  

2686:  An  Efficient  Compressive  Convolutional  Network  for  Unified  Object  Detection  and  Image  

2689:  Multi-­‐View  Anomaly  Detection:  Neighborhood  in  Locality  Matters  

2690:  Attention  Based  Spatial-­‐Temporal  Graph  Convolutional  Networks  for  Traffic  Flow  

2699:  A  SAT+CAS  Approach  to  Finding  Good  Matrices:  New  Examples  and  Counterexamples  

2706:  Depthwise  Convolution  is  All  You  Need  for  Learning  Multiple  Visual  Domains  

2717:  Deriving  Subgoals  Autonomously  to  Accelerate  Learning  in  Sparse  Reward  Domains  

2721:  Election  with  Bribed  Voter  Uncertainty:  Hardness  and  Approximation  Algorithm  

2722:  Human  motion  prediction  via  learning  local  structure  representations  and  temporal  

2732:  Motion  Guided  Spatial  Attention  for  Video  Captioning  

2735:  Solving  Large  Extensive-­‐Form  Games  with  Strategy  Constraints  

2742:  Orthogonality-­‐Promoting  Dictionary  Learning  via  Bayesian  Inference  

2744:  Re-­‐evaluating  ADEM:  A  Deeper  Look  at  Scoring  Dialogue  Responses  

2749:  Learning  Adaptive  Random  Features  

2760:  MVPNet:  Multi-­‐View  Point  Regression  Networks  for  3D  Object  Reconstruction  from  A  

2770:  Melding  the  Data-­‐Decisions  Pipeline:  Decision-­‐Focused  Learning  for  Combinatorial  

2772:  Multi-­‐Winner  Contests  for  Strategic  Diffusion  in  Social  Networks  

2784:  Difficulty-­‐Aware  Attention  Network  with  Confidence  Learning  for  Medical  Image  

2786:  B\´ezier  Simplex  Fitting:  Describing  Pareto  Fronts  of  Simplicial  Problems  with  Small  

2789:  Show,  attend  and  read:  a  simple  and  strong  baseline  for  recognising  irregular  text  

2793:  Unsupervised  Domain  Adaptation  by  Matching  Distributions  based  on  the  Maximum  

2795:  Discrete  Social  Recommendation  

2804:  Diversity-­‐Driven  Extensible  Hierarchical  Reinforcement  Learning  

2813:  Joint  Domain  Alignment  and  Discriminative  Feature  Learning  for  Unsupervised  Deep  

2815:  Spatial  Mixture  Models  with  Learnable  Deep  Priors  for  Perceptual  Grouping  

2831:  Practical  Approximate  Second-­‐Order  Method  for  Training  Fully-­‐Connected  Neural  

2836:  Fuzzy-­‐Classification  Assisted  Solution  Preselection  in  Evolutionary  Optimization  

2841:  Compressing  Recurrent  Neural  Networks  with  Tensor  Ring  Decomposition  for  Action  

2849:  Dependency  or  Span,  End-­‐to-­‐End  Uniform  Semantic  Role  Labeling  

2855:  Cross-­‐relation  Cross-­‐bag  Attention  for  Distantly-­‐supervised  Relation  Extraction  

2858:  Bias-­‐Variance  Trade-­‐Off  in  Hierarchical  Probabilistic  Models  Using  Higher-­‐Order  Feature  

2866:  Semantic  Adversarial  Network  with  Multi-­‐scale  Pyramid  Attention  for  Video  Classification  

2870:  Residual  Invertible  Spatio-­‐Temporal  Network  For  Video  Super-­‐Resolution  

2874:  Partial  Multi-­‐Label  Learning  via  Credible  Label  Elicitation  

2886:  Extension  Removal  in  Abstract  Argumentation  -­‐-­‐  An  Axiomatic  Approach  

2901:  Deep  neural  networks  constrained  by  decision  rules  

2924:  Non-­‐Autoregressive  Machine  Translation  with  Auxiliary  Regularization  

2929:  Self-­‐Supervised  Mixture-­‐of-­‐Experts  by  Uncertainty  Estimation  

2930:  Addressing  the  Under-­‐translation  Problem  from  the  Entropy  Perspective  

2934:  Cogra:  Concept-­‐drift-­‐aware  Stochastic  Gradient  Descent  for  Time-­‐series  Forecasting  

2939:  MLVCNN:  Multi-­‐Loop-­‐View  Convolutional  Neural  Network  for  3D  Shape  Retrieval  

2943:  SpHMC:  Spectral  Hamiltonian  Monte  Carlo  

2960:  Hierarchical  Attention  Networks  for  Sentence  Ordering  

2972:  Who  Blames  Whom  in  a  Crisis?  Detecting  Blame  Ties  from  News  Articles  Using  Neural  

2973:  Improving  Domain-­‐Specific  Classification  by  Collaborative  Learning  with  Adaptation  

2990:  Learning  to  Align  Question  and  Answer  Utterances  in  Customer  Service  Conversation  with  

2997:  Popularity  Prediction  on  Online  Articles  with  Deep  Fusion  of  Temporal  Process  and  

2998:  An  Abstraction-­‐based  Method  for  Verifying  Strategic  Properties  in  Multi-­‐agent  Systems  

3002:  Emergency  Department  Online  Patient-­‐Caregiver  Scheduling  

3008:  Safe  Policy  Improvement  with  Baseline  Bootstrapping  in  Factored  Environments  

3009:  Residual  Compensation  Networks  for  Heterogeneous  Face  Recognition  

3014:  MonoGRNet:  A  Geometric  Reasoning  Network  for  Monocular  3D  Object  Localization  

3018:  General  Robustness  Evaluation  of  Incentive  Mechanism  Against  Bounded  Rationality  

3027:  DeRPN:  Taking  a  further  step  toward  more  general  object  detection  

3035:  Deep  Neural  Network  Quantization  via  Layer-­‐Wise  Optimization  using  Limited  Training  

3036:  Dirichlet  Multinomial  Mixture  with  Variational  Manifold  Regularization:  Topic  Modeling  

3040:  AFS:  An  Attention-­‐based  mechanism  for  Supervised  Feature  Selection    

3045:  Dual  Semi-­‐Supervised  Learning  for  Facial  Action  Unit  Recognition  

3050:  Do  Not  Vote  If  You  Are  Not  Motivated  

3052:  Fine-­‐grained  search  space  classification  for  hard  enumeration  variants  of  subset  problems  

3053:  Learning  Personalized  Attribute  Preference  via    Multi-­‐task  AUC  Optimization  

3088:  On-­‐Line  Learning  of  Linear  Dynamical  Systems:  Exponential  Forgetting  in  Kalman  Filters  

3090:  Reasoning  over  Assumption-­‐Based  Argumentation  Frameworks  via  Direct  Answer  Set  

3093:  Data  Augmentation  for  Spoken  Language  Understanding  via  Joint  Variational  Generation  

3101:  Hierarchical  Photo-­‐Scene  Encoder  for  Album  Storytelling  

3107:  Computing  the  Yolk  in  Spatial  Voting  Games  without  Computing  Median  Lines  

3115:  Granger-­‐causal  Attentive  Mixtures  of  Experts:  Learning  Important  Features  with  Neural  

3116:  CAMO:  A  Collaborative  Ranking  Method  for  Content  Based  Recommendation  

3123:  Geometry-­‐Aware  Face  Completion  and  Editing  

3124:  Neural  Speech  Synthesis  with  Transformer  Network  

3125:  Incorporating  Network  Embedding  into  Markov  Random  Field  for  Better  Community  

3131:  Turbo  Learning  Framework  for  Human-­‐Object  Interactions  Recognition  and  Human  Pose  

3133:  Semantic  Sentence  Matching  with  Densely-­‐connected  Recurrent  and  Co-­‐attentive  

3134:  Abstractive  Text  Summarization  by  Incorporating  Reader  Comments  

3137:  I  Know  the  Relationships:  Zero-­‐Shot  Action  Recognition  via  Two-­‐Stream  Graph  

3139:  Semantic  Proposal  for  Activity  Localization  in  Videos  via  Sentence  Query  

3144:  Qualitative  Spatial  Logic  over  2D  Euclidean  Spaces  is  Not  Finitely  Axiomatisable  

3154:  SCFont:  Structure-­‐guided  Chinese  Font  Generation  via  Deep  Stacked  Networks  

3156:  On  Resolving  Ambiguous  Anaphoric  Expressions  in  Imperative  Discourse  

3157:  Hyperprior  Induced  Unsupervised  Disentanglement  of  Latent  Representations  

3164:  Holographic  Factorization  Machines  for  Recommendation  

3173:  Coreset  Stochastic  Variance-­‐Reduced  Gradient  with  Application  to  Optimal  Margin  

3179:  Long  Short-­‐Term  Memory  with  Dynamic  Skip  Connections  

3183:  Generating  Distractors  for  Reading  Comprehension  Questions  from  Real  Examinations  

3186:  On  Completing  Sparse  Knowledge  Graph  with  Transitive  Relation  Embedding  

3191:  UGSD:  User  Generated  Sentiment  Dictionaries  from  Online  Customer  Reviews  

3193:  Unsupervised  Domain  Adaptation  Based  on  Source-­‐guided  Discrepancy  

3205:  Hierarchical  Encoder  with  Auxiliary  Supervision  for  Table-­‐to-­‐text  Generation:  Learning  

3207:  SAM-­‐Net:  Integrating  Event-­‐Level  and  Chain-­‐Level  Attentions  to  Predict  What  Happens  

3210:  Title-­‐Guided  Encoding  for  Keyphrase  Generation  

3218:  Argumentation  for  Explainable  Scheduling  

3228:  Trust  Region  Evolution  Strategies  

3231:  Dialogue  Generation:  From  Imitation  Learning  to  Inverse  Reinforcement  Learning  

3233:  Theoretical  Analysis  of  Label  Distribution  Learning  

3237:  Human-­‐in-­‐the-­‐Loop  Feature  Selection  

3241:  A  Framework  to  Coordinate  Segmentation  and  Recognition  

3243:  Multi-­‐labeled  Relation  Extraction  with  Attentive  Capsule  Network  

3249:  Efficient  Gaussian  Process  Classification  Using  Polya-­‐Gamma  Data  Augmentation  

3255:  Hierarchical  Classification  based  on  Label  Distribution  Learning  

3268:  Reverse-­‐Engineering  Satire,  or  "Paper  on  Computational  Humor  Criticized  for  Making  

3271:  Refining  Abstraction  Heuristics  During  Real-­‐Time  Planning  

3275:  A  Generalized  Language  Model  in  Tensor  Space  

3278:  Learning  Disentangled  Representation  with  Pairwise  Independence  

3283:  Cooperative  Multimodal  Approach  to  Depression  Detection  in  Twitter  

3288:  Greedy  maximization  of  functions  with  bounded  curvature  under  partition  matroid  

3295:  Preference-­‐aware  Task  Assignment  in  Spatial  Crowdsourcing  

3300:  Tensor  Ring  Decomposition  with  Rank  Minimization  on  Latent  Space:  An  Efficient  

3315:  EnsNet:  Ensconce  Text  in  the  Wild  

3316:  A  Framework  for  Approval-­‐based  Budgeting  Methods  

3325:  Data-­‐Adaptive  Metric  Learning  with  Scale  Alignment  

3329:  Solving  Concurrent  Multiagent  Planning  using  Classical  Planning  

3343:  Iterative  Classroom  Teaching  

3347:  ReAl-­‐LiFE:  Accelerating  the  discovery  of  individualized  brain  connectomes  on  GPUs  

3350:  A  Powerful  Global  Test  Statistic  for  Functional  Statistical  Inference  

3351:  Approximation  and  Hardness  of  Shift-­‐Bribery  

3362:  Learning  Attribute-­‐Specific  Representations  for  Visual  Tracking  

3367:  Multi-­‐Interactive  Memory  Network  for  Aspect  Based  Multimodal  Sentiment  Analysis  

3375:  Learning  Non-­‐Uniform  Hypergraph  for  Multi-­‐Object  Tracking  

3384:  A  Multi-­‐Agent  Communication  Framework  for  Question-­‐Worthy  Phrase  Extraction  and  

3393:  Dependency  Grammar  Induction  with  a  Neural  Variational  Transition-­‐Based  Parser  

3395:  How  Similar  Are  Two  Elections?  

3401:  Exploiting  Sentence  Embedding  for  Medical  Question  Answering  

3404:  Temporal  Bilinear  Networks  for  Video  Action  Recognition  

3408:  Exploring  Lexical  Knowledge  in  an  Interpretable  Composed    Approach  for  Text  Entailment  

3417:  Learning  the  Optimal  Strategy  to  Commit  to  

3427:  INTERPRETATION  OF  NEURAL  NETWORKS  IS  FRAGILE  

3441:  Meta-­‐descent  for  online,  continual  prediction  

3444:  Recurrent  Poisson  Process  Unit  for  Speech  Recognition  

3447:  Lifted  Proximal  Operator  Machine  

3453:  Hotels-­‐50K:  A  Global  Hotel  Recognition  Dataset  

3455:  Submodular  Optimization  Over  Streams  with  Inhomogeneous  Decays  

3463:  Weisfeiler  and  Leman  Go  Neural:  Higher-­‐order  Graph  Neural  Networks  

3467:  Bayesian  Deep  Collaborative  Matrix  Factorization  

3468:  Learning  Object  Context  for  Dense  Captioning  

3483:  Preference-­‐Aware  Task  Assignment  in  On-­‐demand  Taxi  Dispatching:  An  Online  Stable  

3489:  Deep  Cascade  Multi-­‐task  Learning  for  Slot  Filling  in  Online  Shopping  Assistant  

3490:  A  Grammar-­‐Based  Structural  CNN  Decoder  for  Code  Generation  

3497:  Building  Causal  Graphs  from  Medical  Literature  and  Electronic  Medical  Records  

3507:  Generating  Live  Soccer-­‐Match  Commentary  from  Play  Data  

3515:  Communication  Efficient  Stochastic  Gradient  MCMC  for  Neural  Networks  

3526:  Multi-­‐order  Attentive  Ranking  Model  for  Sequential  Recommendation  

3529:  Training  Complex  Models  with  Multi-­‐Task  Weak  Supervision  

3538:  Learning  a  Visual  Tracker  from  a  Single  Movie  without  Annotation  

3540:  Attentive  Temporal  Pyramid  Network  for  Dynamic  Scene  Classification  

3542:  Learning  Resource  Allocation  and  Pricing  for  Cloud  Profit  Maximization  

3543:  SDRL:  Interpretable  and  Data-­‐efficient  Deep  Reinforcement  Learning  Leveraging  Symbolic  

3549:  Exploring  Human  Reading  Cognition  for  Abstractive  Text  Summarization  

3561:  Block-­‐Dropout:  Efficient  Training  Method  for  Multi-­‐Agent  Deep  Reinforcement  Learning  

3574:  Image  Saliency  Prediction  in  Transformed  Domain:  A  Deep  Complex  Neural  Network  

3580:  Detecting  Incongruity  Between  News  Headline  and  Body  Text  via  a  Deep  Hierarchical  

3583:  Multi-­‐Matching  Network  for  Multiple  Choice  Reading  Comprehension  

3586:  Blameworthiness  in  Multi-­‐Agent  Settings  

3606:  A  Comparative  Analysis  of  Expected  and  Distributional  Reinforcement  Learning  

3610:  Dynamic  Capsule  Attention  for  Visual  Question  Answering  

3612:  State  Abstraction  as  Compression  in  Apprenticeship  Learning  

3616:  Model-­‐Based  Diagnosis  for  Cyber-­‐Physical  Production  Systems  based  on  Machine  

3619:  Depth  prediction  without  the  sensors:  Leveraging  structure  for  unsupervised  learning  

3622:  Deep  Convolutional  Sum-­‐Product  Networks  

3625:  Deep  Metric  Learning  by  Online  Soft  Mining  and  Class-­‐Aware  Attention  

3626:  Learning  Competitive  and  Discriminative  Reconstructions  for  Anomaly  Detection  

3627:  Adversarial  Unsupervised  Representation  Learning  for  Activity  Time-­‐Series  

3632:  Deep  Transformation  Method  for  Discriminant  Feature  Extraction  from  Multi-­‐Channel  

3633:  Generalized  Batch  Normalization  

3637:  Efficient  Concept  Induction  for  Description  Logics  

3640:  Learning  Set  Functions  with  Limited  Complementarity  

3648:  COALA:  A  Neural  Coverage-­‐Based  Approach  for  Long  Answer  Selection  with  Small  Data  

3659:  Interactive  Semantic  Parsing  for  If-­‐Then  Recipes  via  Hierarchical  Reinforcement  Learning  

3663:  Group  Fairness  for  Indivisible  Goods  Allocation  

3665:  Towards  Better  Interpretability  in  Deep  Q-­‐Networks  

3669:  CycleEmotionGAN:  Emotional  Semantic  Consistency  Preserved  CycleGAN  for  Adapting  

3671:  An  Equivalence  Between  Wagering  and  Fair-­‐Division  Mechanisms  

3682:  Toward  Fast,  Automatic,  Privacy-­‐Preserving  Learning  of  Optimal  Network  Resource  

3690:  Automated  Rule  Base  Completion  as  Bayesian  Concept  Induction  

3692:  Which  Factorization  Machine  Modeling  is  Better:  A  Theoretical  Answer  with  Optimal  

3695:  Theory  of  Minds:  Understanding  Behavior  in  Groups  Through  Inverse  Planning  

3696:  Bias  Reduction  via  End-­‐to-­‐End  Shift  Learning:  Application  to  Citizen  Science  

3698:  Self-­‐Adversarially  Learned  Bayesian  Sampling  

3701:  Learning  to  Communicate  and  Solve  Visual  Blocks-­‐World  Tasks  

3706:  Beyond  Speech:  Generalizing  D-­‐Vectors  for  Biometric  Verification  

3717:  Mechanism  Design  for  Multi-­‐type  Housing  Markets  with  Acceptable  Bundles  

3720:  Active  Learning  of  Multi-­‐class  Classification  Models  from  Ordered  Class  Sets  

3722:  Machine  Teaching  for  Inverse  Reinforcement  Learning:  Algorithms  and  Applications  

3724:  Interpreting  Deep  Models  for  Text  Analysis  via  Optimization  and  Regularization  Methods  

3732:  Inverse  Abstraction  of  Neural  Networks  Using  Symbolic  Interpolation  

3739:  Hybrid  Reinforcement  Learning  with  Expert  State  Sequences  

3752:  Explicitly  Imposing  Constraints  in  Deep  Networks  Via  Conditional  Gradients  Gives  

3753:  On-­‐line  Adaptative  Curriculum  Learning  for  GANs  

3767:  When  do  Words  Matter?  Understanding  the  Impact  of  Lexical  Choice  on  Audience  

3768:  Running  Time  Analysis  of  MOEA/D  with  Crossover  on  Discrete  Optimization  Problem  

3771:  Neural  Machine  Translation  with  Adequacy-­‐Oriented  Learning  

3773:  Multistream  Classification  with  Relative  Density  Ratio  Estimation  

3779:  SAT-­‐based  Explicit  LTLf  Satisfiability  Checking  

3782:  Bayesian  functional  optimisation  with  shape  prior  

3783:  From  Recommendation  Systems  to  Facility  Location  Games  

3789:  A  PAC  Framework  for  Aggregating  Agents'  Judgments  

3790:  ATP:  Directed  Graph  Embedding  with  Asymmetric  Transitivity  Preservation  

3795:  Violence  Rating  Prediction  from  Movie  Scripts  

3797:  Task  Embedded  Coordinate  Update:  A  Realizable  Framework  for  Multivariate  Non-­‐convex  

3805:  "Reverse  Gerrymandering":  Manipulation  in  Multi-­‐Group  Decision  Making  

3818:  Understanding  Story  Characters,  Movie  Actors  and  Their  Versatility  with  Gaussian  

3823:  A  Recursive  Algorithm  for  Projected  Model  Counting  

3824:  Algorithms  for  Average  Regret  Minimization  

3826:  A  Deep  Neural  Network  for  Unsupervised  Anomaly  Detection  and  Diagnosis  in  

3830:  Adjusting  Reviewer  Scores  in  Conference  Reviewing  

3855:  Regularizing  Neural  Machine  Translation  by  Target-­‐bidirectional  Agreement  

3858:  Multi-­‐Agent  Path  Finding  for  Large  Agents  

3868:  Dynamic  Layer  Aggregation  for  Neural  Machine  Translation  

3873:  Natural  Option  Critic  

3875:  Random  Feature  Maps  for  Itemset  Kernel  

3877:  Symmetry  Breaking  Constraints  for  Grid-­‐based  Multi-­‐Agent  Path  Finding  

3886:  Fair  and  Efficient  Memory  Sharing:  Confronting  Free  Riders  

3900:  Network  Recasting:  A  Universal  Method  for  Network  Architecture  Transformation  

3904:  Dynamic  Spatial-­‐Temporal  Graph  Convolutional  Neural  Networks  for  Traffic  Forecasting  

3912:  Deep  Robust  Unsupervised  Multi-­‐Modal  Network  

3914:  Interleave  Variational  Optimization  with  Monte  Carlo  Sampling:  A  Tale  of  Two  

3916:  Declarative  Question  Answering  over  Knowledge  Bases  containing  Natural  Language  Text  

3922:  Probabilistic  Logic  Programming  with  Beta-­‐Distributed  Random  Variables  

3927:  Embedding-­‐based  Complex  Feature  Value  Coupling  Learning  for  Detecting  Outliers  in  

3929:  LabelForest:  Non-­‐Parametric  Semi-­‐Supervised  Learning  for  Activity  Recognition  

3931:  Learning  Dynamic  Generator  Model  by  Alternating  Back-­‐Propagation  

3934:  Connecting  Language  to  Images:  A  Progressive  Attention-­‐Guided  Network  for  

3940:  Multi-­‐Level  Deep  Cascade  Trees  for  Conversion  Rate  Prediction  in  Recommendation  

3958:  Congestion  Graphs  for  Automated  Time  Predictions  

3970:  A  Topic-­‐Aware  Reinforced  Model  for  Weakly  Supervised  Stance  Detection  

3975:  Heuristic  Search  Algorithm  for  Dimensionality  Reduction  Optimally  Combining  Feature  

3978:  DeepCF:  A  Unified  Framework  of  Representation  Learning  and  Matching  Function  

3999:  Random  Dictators  with  a  Random  Referee:  Constant  Sample  Complexity  Mechanisms  for  

4013:  Answer  Identification  from  Product  Reviews  for  User  Questions  by  Multi-­‐task  Attentive  

4020:  Exploiting  Local  Feature  Patterns  for  Unsupervised  Domain  Adaptation  

4024:  Weakly-­‐Supervised  Hierarchical  Text  Classification  

4025:  Convex  Formulations  for  Fair  Principal  Component  Analysis  

4026:  Acting  and  Planning  Using  Operational  Models  

4029:  Learning  Transferable  Self-­‐attentive  Representations  for  Action  Recognition  in  

4035:  Compiling  Bayesian  Network  Classifiers  into  Decision  Graphs  

4039:  ACE:  An  Actor  Ensemble  Algorithm  for  Continuous  Control  with  Tree  Search  

4041:  Partial  Label    Learning  via  Label  Enhancement  

4044:  DialogueRNN:  An  Attentive  RNN  for  Emotion  Detection  in  Conversations  

4047:  Learning  Fully  Dense  Neural  Networks  for  Image  Semantic  Segmentation  

4048:  Robust  Deep  Co-­‐Saliency  Detection  with  Group  Semantic  

4049:  QUOTA:  The  Quantile  Option  Architecture  for  Reinforcement  Learning  

4053:  Smooth  Deep  Image  Generator  from  Noises  

4059:  Attentive  Tensor  Product  Learning  

4066:  Complex  Moment-­‐Based  Supervised  Eigenmap  for  Dimensionality  Reduction  

4068:  Task-­‐Driven  Common  Representation  Learning  via  Bridge  Neural  Network  

4074:  HAS-­‐QA:  Hierarchical  Answer  Spans  Model  for  Open-­‐domain  Question  Answering  

4077:  Efficient  Data  Point  Pruning  for  One-­‐Class  SVM  

4078:  R\(\textrm{S}^3\)CIS:  Robust  Single-­‐Step  Spectral  Clustering  with  Intrinsic  Subspace  

4082:  Hierarchically  Structured  Reinforcement  Learning  for  Topically  Coherent  Visual  Story  

4096:  Online  Convex  Optimization  for  Sequential  Decision  Processes  and  Extensive-­‐Form  Games  

4105:  Dual-­‐view  Ranking  with  Hardness  Assessment  for  Zero-­‐shot  Learning  

4114:  Generating  Character  Descriptions  for  Automatic  Summarization  of  Fiction  

4115:  Image  Aesthetic  Assessment  Assisted  by  Attributes  through  Adversarial  Learning  

4120:  Hashtag  Recommendation  for  Photo  Sharing  Services  

4121:  Spatial  and  Temporal  Mutual  Promotion  for  Video-­‐based  Person  Re-­‐identification  

4124:  Joint  Extraction  of  Entities  and  Overlapping  Relations  using  Position-­‐Attentive  Sequence  

4137:  Generating  Multiple  Diverse  Responses  for  Short-­‐Text  Conversation  

4162:  Asynchronous  Proximal  Stochastic  Gradient  Algorithm  for  Composition  Optimization  

4175:  What  If  We  Simply  Swap  the  Two  Text  Fragments?  A  Straightforward  yet  Effective  Way  to  

4176:  f-­‐Similarity  Preservation  Loss  for  Soft  Labels:  A  Demonstration  on  Cross-­‐Corpus  Speech  

4180:  A  Domain  Generalization  Perspective  on  Listwise  Context  Modeling  

4189:  On  Sampling  Complexity  of  the  Semidefinite  Affine  Rank  Feasibility  Problem  

4198:  Angular  Triplet-­‐Center  Loss  for  Multi-­‐view  3D  Shape  Retrieval  

4206:  Neural  Collective  Graphical  Models  for  Estimating  Spatio-­‐temporal  Population  Flow  from  

4208:  Automatic  Construction  of  Parallel  Portfolios  via  Explicit  Instance  Grouping  

4211:  Understanding  VAEs  in  Fisher-­‐Shannon  Plane  

4235:  Latent  Dirichlet  Allocation  for  Internet  Price  War  

4239:  Multiple  Saliency  and  Channel  Sensitivity  Network  for  Aggregated  Convolutional  Feature  

4240:  Precision-­‐Recall  versus  Accuracy  and  the  Role  of  Large  Data  Sets  

4246:  Exploiting  the  Ground-­‐Truth:  An  Adversarial  Imitation  Based  Knowledge  Distillation  

4250:  DeepETA:  A  Spatial-­‐temporal  Sequential  Neural  Network  Model  for  Estimating  Time  of  

4251:  Deep  Short  Text  Classification  with  Knowledge  Powered  Attention  

4252:  LENA:  Locality-­‐Expanded  Neural  Embedding  for  Knowledge  Base  Completion  

4257:  Optimizing  Discount  &  Reputation  Trade-­‐offs  in  E-­‐commerce  Systems:  Characterization  

4267:  DeepDPM:  Dynamic  Population  Mapping  via  Deep  Neural  Network  

4268:  Community  Focusing:  Yet  Another  Query-­‐Dependent  Community  Detection  

4277:  Weighted  Oblique  Decision  Trees  

4293:  Counterfactual  Randomization:  Rescuing  Experimental  Studies  from  Obscured  

4296:  A  Layer  Decomposition-­‐Recomposition  Framework  for  Neuron  Pruning  towards  Accurate  

4297:  FLEX:  Faithful  Linguistic  Explanations  for  Neural  Net  based  Model  Decisions  

4306:  Markov  Random  Field  meets  Graph  Convolutional  Network:  End-­‐to-­‐End  Learning  for  

4307:  Antonym-­‐Synonym  Classification  based  on  New  Sub-­‐space  Embeddings  

4315:  Large-­‐Scale  Heterogeneous  Feature  Embedding  

4320:  Curse  of  Concentration  in  Robust  Learning:  Evasion  and  Poisoning  Attacks  from  

4329:  Incorporating  Semantic  Similarity  with  Geographic  Correlation  for  Query-­‐POI  Relevance  

4335:  Multi-­‐CGN:  Graph  Convolutional  Networks  for  Multi-­‐View  Networks,  with  Applications  to  

4342:  On  Reinforcement  Learning  for  Full-­‐length  Game  of  StarCraft  

4350:  Quantifying  Uncertainties  in  Natural  Language  Processing  Tasks  

4359:  MFPCA:  Multiscale  Functional  Principal  Component  Analysis  

4364:  Visual  Place  Recognition  via  Simultaneously  Minimizing  and  Maximizing  p-­‐Order  L2-­‐Norm  

4365:  Data-­‐Distortion  Guided  Self-­‐Distillation  for  Deep  Neural  Networks  

4374:  Covariate  Shift  Adaptation  on  Learning  from  Positive  and  Unlabeled  Data  

4375:  Comparative  Summarisation  of  Document  Collections  

4379:  Understanding  Persuasion  Cascades  in  Online  Product  Rating  Systems    

4382:  Generating  Chinese  Ci  with  Designated  Metrical  Structure  

4385:  Distributed  Representation  of  Words  in  Cause  and  Effect  Spaces  

4389:  ClusterGAN  :  Latent  Space  Clustering  in  Generative  Adversarial  Networks  

4400:  Unknown  Agents  in  Friends  Oriented  Hedonic  Games:  Stability  and  Complexity  

4402:  Domain  Agnostic  Real-­‐Valued  Specificity  Prediction  

4404:  Biomedical  Image  Segmentation  via  Representative  Annotation  

4410:  BiHMP-­‐GAN:  Bidirectional  3D  Human  Motion  Prediction  GAN  

4416:  Robust  Multi-­‐Agent  Reinforcement  Learning  via  Minimax  Deep  Deterministic  Policy  

4423:  Insufficient  Data  Can  Also  Rock!Learning  to  Converse  Using  Smaller  Data  with  

4430:  Approximate  Inference  of  Outcomes  in  Probabilistic  Elections  

4433:  The  Utility  of  Sparse  Representations  for  Control  in  Reinforcement  Learning  

4435:  Learning  to  Write  Creative  Stories  with  Thematic  Consistency  

4444:  Few-­‐Shot  Image  and  Sentence  Matching  via  Gated  Visual-­‐Semantic  Embedding  

4454:  Pareto  Optimization  for  Subset  Selection  with  Dynamic  Cost  Constraints  

4455:  Modelling  of  Bi-­‐directional  Spatio-­‐Temporal  Dependence  and  Users'  Dynamic  Preferences  

4461:  Implicit  Argument  Prediction  as  Reading  Comprehension  

4465:  Searching  with  Consistent  Prioritization  for  Multi-­‐Agent  Path  Finding  

4477:  Self-­‐Ensembling  Attention  Networks:  Addressing  Domain  Shift  for  Semantic  

4478:  Recursively  Learning  Causal  Structures  Using  Regression-­‐based  Conditional  Independence  

4483:  Approximate  Kernel  Selection  with  Strong  Approximate  Consistency  

4495:  RecurJac  :  An  Efficient  Recursive  Algorithm  for  Bounding  Jacobian  Matrix  of  General  

4498:  Frame  and  Feature-­‐Context  Video  Super-­‐Resolution  

4499:  Improving  Optimization  Bounds  using  Machine  Learning:  Decision  Diagrams  meet  Deep  

4500:  Crawling  the  Community  Structure  of  Multiplex  Networks  

4517:  Robust  Ordinal  Embedding  from  Contaminated  Relative  Comparisons  

4518:  Learning  Compact  Model  for  Large-­‐Scale  Multi-­‐Label  Data  

4528:  Efficient  Identification  of  Approximate  Best  Configuration  of  Training  in  Large  Datasets  

4533:  Unsupervised  Controllable  Text  Formalization  

4542:  Model-­‐based  Diagnosis  of  Hybrid  Systems  using  Satisfiability  Modulo  Theory  

4550:  Supervised  User  Ranking  in  Signed  Social  Networks  

4557:  Devil  in  the  Details:  Towards  Accurate  Single  and  Multiple  Human  Parsing  

4561:  What  and  Where  the  Themes  Dominate  in  Image  

4562:  One-­‐Pass  Incomplete  Multi-­‐view  Clustering  

4563:  Linear  Kernel  Tests  via  Empirical  Likelihood  for  High  Dimensional  Data  

4569:  Exploring  Answer  Stance  Detection  with  Recurrent  Conditional  Attention  

4575:  Refining  Coarse-­‐grained  Spatial  Data  using  Auxiliary  Spatial  Data  Sets  with  Various  

4578:  Separator-­‐based  Pruned  Dynamic  Programming  for  Steiner  Tree  

4583:  Dynamic  Learning  of  Sequential  Choice  Bandit  Problem  under  Marketing  Fatigue  

4589:  Context-­‐Aware  Self-­‐Attention  Networks  

4591:  MRes-­‐RGNN:  A  Novel  Deep  Learning  based  Framework  for  Traffic  Prediction  

4595:  Querying  Attributed  DL-­‐Lite  Ontologies  using  Provenance  Semirings  

4601:  Belief  Change  and  Non-­‐monotonic  Reasoning  sans  Compactness  

4605:  Translating  with  Bilingual  Topic  Knowledge  for  Neural  Machine  Translation  

4607:  DeepCCFV:  Camera  Constraint-­‐Free  Multi-­‐View  Convolutional  Neural  Network  for  3D  

4622:  Counting  and  Sampling  from  Markov  Equivalent  DAGs  Using  Clique  Trees  

4631:  DTMT:  A  Novel  Deep  Transition  Architecture  for  Neural  Machine  Translation  

4632:  Stepping  Stones  to  Inductive  Synthesis  of  Low-­‐Level  Looping  Programs  

4653:  Deep  Hierarchical  Graph  Convolution  for  Election  Prediction  from  Geospatial  Census  Data  

4661:  Multi-­‐Task  Learning  with  Multi-­‐View  Attention  for  Answer  Selection  and  Knowledge  Base  

4677:  Validation  of  Growing  Knowledge  Graphs  by  Abductive  Text  Evidences  

4685:  Computing  a  Quasi-­‐Perfect  Stackelberg  Equilibrium  

4711:  Differentiated  Distribution  Recovery  for  Neural  Text  Generation  

4720:  X-­‐DMM:  Fast  and  Scalable  Model  Based  Text  Clustering  

4724:  Structured  Two-­‐stream  Attention  Network  for  Video  Question  Answering  

4736:  Hierarchical  Macro  Strategy  Model  for  MOBA  Game  AI  

4737:  Personalized  Question  Routing  via  Heterogeneous  Network  Embedding  

4743:  Better  Fine-­‐tuning  via  Instance  Weighting  for  Text  Classification  

4746:  Towards  Personalized  Review  Summarization  via  User-­‐aware  Sequence  Network  

4747:  Coupled  CycleGAN:  Unsupervised  Hashing  Network  for  Cross-­‐Modal  Retrieval  

4773:  Surveys  without  Questions:  A  Reinforcement  Learning  Approach  

4783:  Partial  Multi-­‐Label  Learning  by  Low-­‐Rank  and  Sparse  Decomposition  

4788:  Learning  Semantic  Representations  for  Novel  Words:  Leveraging  Both  Form  and  Context  

4799:  Aligning  Domain-­‐specific  Distribution  and  Classifier  for  Cross-­‐domain  Classification  from  

4802:  Lattice  CNNs  for  Matching  Based  Chinese  Question  Answering  

4808:  Efficient  Image  Retrieval  via  Decoupling  Diffusion  into  Online  and  Offline  Processing  

4810:  Unsupervised  Feature  Selection  by  Pareto  Optimization  

4816:  Oversampling  for  Imbalanced  Data  via  Optimal  Transport  

4820:  Collaborative,  Dynamic  and  Diversified  User  Profiling  

4836:  Variational  Autoencoder  with  Implicit  Optimal  Priors  

4838:  Document  Informed  Neural  Autoregressive  Topic  Models  with  Distributional  Prior  

4841:  Learning  (from)  Deep  Hierarchical  Structure  among  Features  

4852:  Improving  Domain-­‐independent  Planning  via  Critical  Section  Macro-­‐Operators  

4853:  On  the  Complexity  of  the  Inverse  Semivalue  Problem  for  Weighted  Voting  Games  

4855:  Estimating  the  Days  to  Success  of  Campaigns  in  Crowdfunding:  A  Deep  Survival  

4865:  Probabilistic  Alternating-­‐Time  Mu-­‐Calculus  

4880:  SADIH:  Semantic-­‐Aware  DIscrete  Hashing  

4891:  Sparse  Reject  Option  Classifier  using  Successive  Linear  Programming  

4898:  Walrasian  Dynamics  in  Multi-­‐unit  Markets  

4902:  Random  Walk  Decay  Centrality  

4905:  Neural  Relation  Extraction  Within  and  Across  Sentence  Boundaries  

4907:  Partial  Verification  as  a  Substitute  for  Money  

4912:  Meimei:  An  Efficient  Probabilistic  Approach  for  Semantically  Annotating  Tables  

4918:  A  Sequential  Set  Generation  Method  for  Predicting  Set-­‐Valued  Outputs  

4932:  Inter-­‐Class  Angular  Loss  for  Convolutional  Neural  Networks  

4938:  Meta  Learning  for  Image  Captioning  

4947:  TableSense:  Mask  R-­‐CNN  for  Spreadsheet  Table  Detection  

4963:  Multi-­‐agent  Discussion  Mechanism  for  Natural  Language  Generation  

4964:  HyperAdam:  A  Learnable  Task-­‐Adaptive  Adam  for  Network  Training  

4966:  Evolutionarily  Learning  Multi-­‐aspect  Interactions  and  Influences  from  Network  Structure  

4980:  Unsupervised  Neural  Machine  Translation  with  SMT  as  Posterior  Regularization  

4989:  Action  Knowledge  Transfer  for  Action  Prediction  with  Partial  Videos  

5002:  Entity  Alignment  between  Knowledge  Graphs  Using  Attribute  Embeddings  

5010:  Operator  Mutexes  and  Symmetries  for  Simplifying  Planning  Tasks  

5020:  A  Neural  Multi-­‐Task  Learning  Framework  to  Jointly  Model  Medical  Named  Entity  

5021:  Bringing  Order  to  Chaos  -­‐  A  Compact  Representation  of  Partial  Order  in  SAT-­‐based  HTN  

5022:  Red-­‐Black  Heuristics  for  Planning  Tasks  with  Conditional  Effects  

5023:  Forbidden  Nodes  Aware  Community  Search  

5030:  Beyond  RNNs:  Positional  Self-­‐Attention  with  Co-­‐Attention  for  Video  Question  Answering  

5048:  Aging  Evolution  for  Image  Classifier  Architecture  Search  

5056:  Learning  Incremental  Triplet  Margin  for  Person  Re-­‐identification  

5058:  An  Integral  Tag  Recommendation  Model  for  Textual  Content  

5069:  Mixture  of  Expert/Imitator  Network:  Scalable  Semi-­‐supervised  Learning  Framework  

5082:  Exact  and  Approximate  Weighted  Model  Integration  with  Probability  Density  Functions  

5084:  Community  Detection  in  Social  Networks  Considering  Topic  Correlations  

5092:  A  Unified  Model  for  Opinion  Target  Extraction  and  Target  Sentiment  Classification  

5097:  Deep  Learning  for  Cost-­‐Optimal  Planning:  Task-­‐Dependent  Planner  Selection  

5118:  A  Memetic  Approach  for  Sequential  Security  Games  on  a  Plane  with  Moving  Targets  

5120:  Unseen  Word  Representation  by  Aligning  Heterogeneous  Lexical  Semantic  Spaces  

5123:  Improving  Image  Captioning  with  Conditional  Generative  Adversarial  Nets  

5134:    Ranking-­‐based    Deep  Cross-­‐modal  Hashing  

5147:  DRr-­‐Net:  Dynamic  Re-­‐read  Network  for  Sentence  Semantic  Matching  

5150:  Optimal  Interdiction  of  Urban  Criminals  with  the  Aid  of  Real-­‐Time  Information  

5163:  Cash-­‐out  User  Detection  based  on  Attributed  Heterogeneous  Information  Network  with  a  

5171:  Relation  Structure-­‐Aware  Heterogeneous  Information  Network  Embedding  

5172:  Where  to  Go  Next:  A  Spatio-­‐Temporal  Gated  Network  for  Next  POI  Recommendation  

5189:  Multi-­‐View  Multi-­‐Instance  Multi-­‐Label  Learning  based  on  Confederate  Matrix  

5195:  Multi-­‐Attribute  Transfer  via  Disentangled  Representation  

5204:  Learning  to  Solve  NP-­‐Complete  Problems  -­‐-­‐  A  Graph  Neural  Network  for  the  Decision  TSP  

5211:  Sign-­‐Full  Random  Projections  

5216:  Transferable  Interactive  Memory  Network  for  Domain  Adaptation  in  Fine-­‐grained  

5218:  Multiple  Independent  Subspace  Clusterings  

5221:  Online  Active  Learning  cross  Multiple  Tasks  

5225:  Solving  Integer  Quadratic  Programming  via  Explicit  and  Structural  Restrictions  

5238:  Explainable  Recommendation  Through  Attentive  Multi-­‐View  Learning  

5255:  Predicting  Concrete  and  Abstract  Entities  in  Modern  Poetry  

5266:  Perceptual  Pyramid  Adversarial  Networks  for  Text-­‐to-­‐Image  Synthesis  

5274:  MPD-­‐AL:  An  Efficient  Membrane  Potential  Driven  Aggregate-­‐Label  Learning  Algorithm  for  

5279:  Unsupervised  Learning  helps  Supervised  Neural  Word  Segmentation  

5286:  Relaxing  and  Restraining  Queries  for  OBDA  

5293:  Sequential  Scene  Composition  

5295:  Human-­‐like  Delicate  Region  Erasing  Strategy  for  Weakly  Supervised  Detection  

5296:  An  Exponential  Tail  Bound  for  the  Deleted  Estimate  

5298:  Molecular  Property  Prediction:  A  Multilevel  Quantum  Interactions  Modeling  Perspective  

5312:  Optimal  Dynamic  Auctions  are  Virtual  Welfare  Maximizers  

5320:  GRN:  Gated  Relation  Network  to  Enhance  Convolutional  Neural  Network  for  Named  

5321:  Partial  Label  Learning  with  Self-­‐Guided  Retraining  

5324:  Scale  Invariant  Fully  Convolutional  Network:  Detecting  Hands  Efficiently  

5325:  Mode  Variational  LSTM  Robust  to  Unseen  Modes  of  Variation:    Application  to  Facial  

5329:  Faster  Gradient-­‐Free  Proximal  Stochastic  Methods  for  Nonconvex  Nonsmooth  

5331:  SEGAN:  Structure-­‐Enhanced  Generative  Adversarial  Network  for  Compressed  Sensing  

5339:  Collaboration  based  Multi-­‐Label  Learning  

5345:  SuperVAE:  Superpixelwise  Variational  Autoencoder  for  Salient  Object  Detection  

5358:  PVRNet:  Point-­‐View  Relation  Neural  Network  for  3D  Shape  Recognition  

5370:  Hypergraph  Optimization  for  Multi-­‐structural  Geometric  Model  Fitting  

5383:  Label  Embedding  with  Partial  Heterogeneous  Contexts  

5388:  Temporal  Planning  with  Temporal  Metric  Trajectory  Constraints  

5390:  Deliberate  Residual  based  Attention  Network  for  Image  Captioning  

5391:  Understanding  Pictograph  with  Facial  Features:  End-­‐to-­‐End  Sentence-­‐level  Lip  Reading  of  

5396:  The  Adversarial  Attack  and  Detection  under  the  Fisher  Information  Metric  

5415:  Scalable  Recollections  for  Continual  Lifelong  Learning  

5422:  Moral  Permissibility  of  Action  Plans  

5438:  Personalized  Robot  Tutoring  using  the  Assistive  Tutor  POMDP  (AT-­‐POMDP)  

5441:  A  Radical-­‐aware  Attention-­‐based  Model  for  Chinese  Text  Classification  

5442:  Private  Model  Compression  via  Knowledge  Distillation  

5448:  Unbounded  Orchestrations  of  Transducers  for  Manufacturing  

5450:  A  Generative  Model  for  Dynamic  Networks  with  Applications  

5454:  Jointly  Extracting  Multi-­‐triplets  via  Ranking  with  Translation  Mechanism  

5456:  Using  Benson's  Algorithm  for  Regularization  Parameter  Tracking  

5461:  Deep  Embedding  Features  for  Salient  Object  Detection  

5465:  Path-­‐specific  Counterfactual  Fairness  

5474:  Composable  Modular  Reinforcement  Learning  

5482:  Adaptive  Proximal  Average  based  Variance  Reducing  Stochastic  Methods  for  

5484:  Chinese  NER  with  Height-­‐Limited  Constituent  Parsing  

5487:  Understanding  Dropouts  in  MOOCs  

5490:  Enhancing  Lazy  Grounding  with  Lazy  Normalization  in  Answer-­‐Set  Programming  

5491:  Efficient  Counterfactual  Learning  from  Bandit  Feedback  

5492:  Hyperbolic  Heterogeneous  Information  Network  Embedding  

5530:  RLTM:  An  Efficient  Neural  IR  Framework  for  Long  Documents  

5540:  Attention-­‐aware  Sampling  via  Deep  Reinforcement  Learning  for  Action  Recognition  

5556:  Online  Multi-­‐Agent  Pathfinding  

5560:  Bayesian  Fairness  

5570:  Transductive  Bounds  for  the  Multi-­‐class  Majority  Vote  Classifier    

5576:  Gated  Interleaved  Multi-­‐Task  Composite  State  Sequencing:  Learning  to  Daisy-­‐Chain  the  

5579:  Efficient  and  Scalable  Multi-­‐task  Regression  on  Massive  Number  of  Tasks  

5583:  Interactive  Attention  Transfer  Network  for  Cross-­‐domain  Sentiment  Classification  

5593:  Exploiting  synthetically  generated  data  with  semi-­‐supervised  learning  for  small  and  

5596:  Improving  One-­‐Class  Collaborative  Filtering  via  Ranking-­‐based  Implicit  Regularizer  

5611:  Coverage  Centrality  Maximization  in  Undirected  Networks  

5622:  Adversarial  Binary  Collaborative  Filtering  For  Implicit  Feedback  

5624:  DeepSTN+:  Context-­‐aware  Spatial  Temporal  Neural  Network  for  Crowd  Flow  Prediction  in  

5625:  Lipper:  Synthesizing  Thy  Speech  using  Multi-­‐View  Lipreading  

5626:  Deep  Reactive  Policies  for  Planning  in  Stochastic  Nonlinear  Domains  

5628:  Approximate  Stream  Reasoning  with  Metric  Temporal  Logic  under  Uncertainty  

5630:  From  Independent  Prediction  to  Re-­‐ordered  Prediction:  Integrating  Relative  Position  and  

5633:  MixUp  as  Locally  Linear  Out-­‐Of-­‐Manifold  Regularization  

5656:  Sliding  Window  Temporal  Graph  Coloring  

5658:  Plan-­‐And-­‐Write:  Towards  Better  Automatic  Storytelling  

5666:  Multi-­‐task  Deep  Reinforcement  Learning  with  PopArt  

5671:  Cooperation  Enforcement  and  Collusion  Resistance  in  Repeated  Public  Goods  Games  

5676:  Exploiting  the  Contagious  Effect  for  Employee  Turnover  Prediction  

5679:  On  the  Inducibility  of  Stackelberg  Equilibrium  in  Security  Games  

5688:  Tied  Transformers:  Neural  Machine  Translation  with  Shared  Encoder  and  Decoder  

5691:  Automatic  Code  Review  by  Learning  the  Revision  of  Source  Code  

5695:  Learning  Features  and  Abstract  Actions  for  Computing  Generalized  Plans  

5699:  Solving  Partially  Observable  Stochastic  Games  with  Public  Observations  

5709:  Find  Me  If  You  Can:  Deep  Software  Clone  Detection  by  Exploiting  the  Contest  between  

5713:  Deception  in  Finitely  Repeated  Security  Games  

5715:  SCNN:  A  General  Distribution  based  Statistical  Convolutional  Neural  Network  with  

5717:  AI-­‐Sketcher  :  A  Deep  Generative  Model  for  Generating  High  Quality  Sketches  

5723:  Unsupervised  Stylish  Image  Description  Generation  via  Domain  Layer  Norm  

5729:  Bidirectional  Transition-­‐Based  Dependency  Parsing  

5745:  Distributionally  Robust  Semi-­‐supervised  Learning  for  People-­‐centric  Sensing  

5754:  Unsupervised  Post-­‐processing  of  Word  Vectors  via  Conceptor  Negation  

5756:  Implanting  Rational  Knowledge  into  Distributed  Representation  at  Morpheme  Level  

5758:  An  Innovative  Genetic  Algorithm  for  the  Quantum  Circuit  Compilation  Problem  

5765:  Counting  and  Sampling  Markov  Equivalent  Directed  Acyclic  Graphs  

5766:  A  Neural  Network  Approach  to  Verb  Phrase  Ellipsis  Resolution  

5768:  Instance-­‐level  Facial  Attributes  Transfer  with  Geometry-­‐aware  Flow  

5773:  Graph  CNNs  with  Motif  and  Variable  Temporal  Block  for  Skeleton-­‐based  Action  

5790:  Subtask  Gated  Networks  for  Non-­‐Intrusive  Load  Monitoring  

5793:  Guiding  the  One-­‐to-­‐one  Mapping  in  CycleGAN  via  Optimal  Transport  

5807:  Strong  Equivalence  for  Epistemic  Logic  Programs  Made  Easy  

5809:  Communication-­‐optimal  distributed  dynamic  graph  clustering  

5812:  Efficient  Temporal  Planning  Using  Metastates  

5820:  Challenges  in  the  Automatic  Analysis  of  Students'  Diagnostic  Reasoning  

5828:  Efficiently  Reasoning  with  Interval  Constraints  in  Forward  Search  Planning  

5833:  A  Nonconvex  Projection  Method  for  Robust  PCA  

5839:  Automatic  Bayesian  Density  Analysis  

5846:  A  Pattern-­‐based  Approach  to  Recognizing  Time  Expressions  

5853:  Complex  Unitary  Recurrent  Neural  Networks  using  Scaled  Cayley  Transform  

5855:  Collective  Online  Learning  of  Gaussian  Processes  in  Massive  Multi-­‐Agent  Systems  

5873:  Skeleton-­‐based  Gesture  Recognition  Using  Several  Fully  Connected  Layers  with  Path  

5882:  A  Generalized  Idiom  Usage  Recognition  Model  based  on  Semantic  Compatibility  

5886:  A  Probabilistic  Derivation  of  LASSO  and  L12-­‐Norm  Feature  Selections  

5893:  Designing  Deep  Generative  Models  for  Molecular  Graphs  

5894:  What  Is  One  Grain  of  Sand  in  the  Desert?  Analyzing  Individual  Neurons  in  Deep  NLP  

5898:  On  Strength  Adjustment  for  MCTS-­‐Based  Programs    

5901:  From  Horn-­‐SRIQ  to  Datalog:  A  Data-­‐Independent  Transformation  that  Preserves  Assertion  

5910:  Evolutionary  Manytasking  Optimization  Based  on  Symbiosis  in  Biocoenosis  

5917:  That's  Mine!  Learning  Ownership  Relations  and  Norms  for  Robots  

5921:  Mining  Entity  Synonyms  with  Efficient  Neural  Set  Generation  

5925:    Character-­‐Level  Language  Modeling  with  Deeper  Self-­‐Attention  

5928:  Ontology-­‐Based  Query  Answering  for  Probabilistic  Temporal  Data  

5931:  On  Structured  Argumentation  with  Conditional  Preferences  

5934:  Making  Money  from  What  You  Know  -­‐  How  to  Sell  Information?  

5951:  HireNet:  a  Hierarchical  Attention  Model  for  the  Automatic  Analysis  of  Asynchronous  

5952:  Fast  Relational  Probabilistic  Inference  and  Learning:  Approximate  Counting  via  

5965:  A  Reinforcement  Learning  Based  Broker  Agent  for  a  Power  Trading  Competition:  Design  

5968:  Bayesian  Graph  Convolutional  Neural  Networks  for  Semi-­‐supervised  Classification  

5970:  Crash  to  Not  Crash:  Learn  to  Identify  Dangerous  Vehicles  using  a  Simulator  

5972:  Granularity-­‐Agnostic  Sense  Model  for  Word  Sense  Induction  

5974:  End-­‐to-­‐end  Structure-­‐Aware  Convolutional  Networks  for  Knowledge  Base  Completion  

5977:  Lifted  Hinge-­‐Loss  Markov  Random  Field  

5978:  Multi-­‐unit  Bilateral  Trade  

5988:  Robustness  Guarantees  for  Bayesian  Inference  with  Gaussian  Processes  

5994:  Robust  Optimization  over  Multiple  Domains  

6001:  PerformanceNet:  Score-­‐to-­‐Audio  Music  Generation  with  Multi-­‐Band  Convolutional  

6002:  How  Well  Do  Machines  Perform  on  IQ  tests:  a  Comparison  Study  on  a  Large-­‐Scale  Dataset  

6007:  Allocating  Interventions  Based  on  Predicted  Outcomes:  A  Case  Study  on  Homelessness  

6029:  An  Open-­‐World  Extension  to  Knowledge  Graph  Completion  Models  

6031:  Interpretable  preference  learning:  a  game  theoretic  framework  for  large  margin  on-­‐line  

6035:  Lifelong  Path  Planning  with  Kinematic  Constraints  for  Multi-­‐Agent  Pickup  and  Delivery  

6038:  Exploiting  Time-­‐Series  Image-­‐to-­‐Image  Translation  to  Simulate  Home  Range  Estimators  in  

6049:  Reasoning  over  Streaming  Data  in  Metric  Temporal  Datalog  

6057:  Building  Temporal  Word  Embeddings  with  a  Compass  

6066:  A  Bridge  between  Liquid  and  Social  Welfare  in  Combinatorial  Auctions  with  Submodular  

6074:  Forgetting  in  Modular  Answer  Set  Programming  

6080:  Heuristic  Voting  as  Ordinal  Dominance  Strategies  

6090:  DeepFuzz:  Automatic  Generation  of  Syntax  Valid  C  Programs  for  Fuzz  Testing  

6091:  Learning  Models  of  Sequential  Decision-­‐Making  with  Partial  Specification  of  Agent  

6095:  You  Get  What  You  Share:  Incentives  for  a  Sharing  Economy  

6098:  Large-­‐Scale  Visual  Relationship  Understanding  

6105:  Learning  Diverse  Bayesian  Networks  

6120:  Practical  Algorithms  for  Multi-­‐stage  Voting  Rules  with  Parallel  Universes  Tiebreaking  

6136:  Attacking  Data  Transforming  Learners  at  Training  Time  

6140:  Analyzing  Compositionality-­‐Sensitivity  of  NLI  Models  

6141:  On  the  True  Number  of  Clusters  in  a  Dataset  

6148:  Multi-­‐context  System  For  Optimization  Problems  

6155:  On  the  Proximity  of  Markets  with  Integral  Equilibria  

6156:  MNCN:  A  Multilingual  Ngram-­‐based  Convolutional  Network  for  Aspect  Category  

6166:  Ontology-­‐Mediated  Query  Answering  over  Log-­‐Linear  Probabilistic  Data  

6180:  A  Bandit  Approach  to  Maximum  Inner  Product  Search  

6192:  Combining  Fact  Extraction  and  Verification  with  Neural  Semantic  Matching  Networks  

6193:  Measurement  Maximizing  Adaptive  Sampling  With  Risk  Bounding  Functions  

6196:  Near  Neighbor  Approach  for  Learning  Random  Preference  

6198:  Multi-­‐Perspective  Relevance  Matching  with  Hierarchical  ConvNets  for  Social  Media  

6208:  Generalized  Distance  Bribery  

6217:  Learning  Plackett-­‐Luce  Mixtures  from  Partial  Preferences  

6221:  Representing  and  Learning  Grammars  in  Answer  Set  Programming  

6224:  Resisting  Adversarial  Attacks  using  Gaussian  Mixture  Variational  Autoencoders  

6229:  Evaluating  Recommender  System  Stability  with  Influence-­‐Guided  Fuzzing  

6263:  Iterated  Belief  Base  Change:  a  Dynamic  Epistemic  Logic  approach  

6273:  Learning  to  Adaptively  Scale  Recurrent  Neural  Networks  

6276:  Learning  Vine  Copula  Models  For  Synthetic  Data  Generation  

6279:  Human-­‐like  Sketch  Object  Recognition  via  Analogical  Learning  

6285:  Robustness  Envelopes  for  Temporal  Plans  

6288:  Non-­‐Parametric  Transformation  Networks  

6296:  Guided  Dropout:  A  Strength  Based  Neuron  Dropping  Approach  to  Improve  Generalization  

6316:  Data  Fine-­‐tuning  

6318:  Multi-­‐task  architecture  learning  

6329:  A  PSPACE  Subclass  of  Dependency  Quantified  Boolean  Formulas  and  Its  Effective  Solving  

6338:  Multilevel  Language  and  Vision  Integration  for  Text-­‐to-­‐Clip  Retrieval  

6354:  Fast  PMI-­‐Based  Word  Embedding  with  Efficient  Use  of  Unobserved  Patterns  

6365:  Learning  optimal  classification  trees  using  a  binary  linear  program  formulation  

6381:  Manifold-­‐valued  Image  Generation  with  Wasserstein  Generative  Adversarial  Nets  

6382:  Zero-­‐shot  Neural  Transfer  for  Cross-­‐lingual  Entity  Linking  

6390:  Consensus  in  Opinion  Formation  Processes  in  Fully  Evolving  Environments  

6399:  Learning  Multi-­‐task  Communication  with  Message  Passing  for  Sequence  Learning  

6403:  Learning  Deviation  Payoffs  in  Simulation-­‐Based  Games  

6405:  Learning  How  to  Ground  a  Plan  -­‐  Partial  Grounding  in  Classical  Planning  

6406:  Triple  Classification  Using  Regions  And  Fine-­‐Grained  Entity  Typing  

6411:  Fast,  Memory-­‐Efficient  and  Simple  Mixture  of  Softmaxes  with  BPE  and  Hybrid-­‐LightRNN  

6418:  Transfer  Learning  Only  Using  the  Source  Model  and  the  Target  Data  for  Sequence  

6420:  Near-­‐lossless  Binarization  of  Word  Embeddings  

6432:  Gradient-­‐based  Inference  for  Networks  with  Output  Constraints  

6442:  Analysis  of  Joint  Multilingual  Sentence  Representations  and  Semantic  K-­‐Nearest  Neighbor  

6445:  Incomplete  Label  Multi-­‐task  Deep  Learning  for  Spatio-­‐temporal  Event  Subtype  

6451:  Improving  Neural  Question  Generation  using  Answer  Separation  

6455:  A  New  Ensemble  Learning  Framework  for  3D  Biomedical  Image  Segmentation    

6461:  Identification  of  Causal  Effects  in  the  Presence  of  Selection  Bias  

6465:  On  the  Parameters  and  Caveats  of  Mixture  Models  for  Quantification  

6485:  Contextualized  Non-­‐local  Neural  Networks  for  Sequence  Learning  

6491:  Robust  Negative  Sampling  for  Network  Embedding  

6494:  SNR:  Sub-­‐Network  Routing  for  Flexible  Parameter  Sharing  in  Multi-­‐task  Learning  

6498:  Bayesian  Execution  Skill  Estimation  

6509:  Efficient  Online  Learning  For  Mapping  Kernels  On  Linguistic  Structures  

6510:  Improving  Distantly  Supervised  Relation  Extraction  with  Neural  Noise  Converter  and  

6523:  Dynamic  Contracting  under  Positive  Commitment  

6525:  SAFE:  A  Neural  Survival  Analysis  Model  for  Fraud  Early  Detection    

6531:  Counting  Complexity  for  Reasoning  in  Abstract  Argumentation  

6536:  One-­‐Class  Adversarial  Nets  for  Fraud  Detection  

6537:  CheXpert:  A  Large  Chest  Radiograph  Dataset  with  Uncertainty  Labels  and  Expert  

6539:  Online  Learning  with  Feature  Space  Adaptive  Constraints  

6540:  Structured  Bayesian  Networks:  From  Inference  to  Learning  with  Routes  

6541:  Pareto  Efficient  Auctions  with  Interest  Rates  

6544:  Learning  Triggers  for  Heterogeneous  Treatment  Effects  

6558:  ``Bilingual  Expert"  Can  Find  Translation  Errors  

6560:  Zero  Shot  Learning  for  Code  Education:  Rubric  Sampling  with  Deep  Learning  Inference  

6574:  Combined  Reinforcement  Learning  via  Abstract  Representations  

6587:  On  Lifted  Inference  using  Neural  Embeddings  

6593:  Algorithms  for  Estimating  Trends  in  Global  Temperature  Volatility  

6594:  Non-­‐Asymptotic  Uniform  Rates  of  Consistency  for  k-­‐NN  Regression  

6595:  Constraint-­‐based  Sequential  Pattern  Mining  with  Decision  Diagrams  

6597:  A  task  in  a  suit  and  a  tie:  paraphrase  generation  with  semantic  augmentation  

6600:  Constraint-­‐Based  Explanations  of  Machine  Learning  Models  

6611:  Graph  based  Translation  Memory  for  Neural  Machine  Translation  

6613:  Efficiently  Combining  Human  Demonstrations  and  Interventions  for  Safe  Training  of  

6617:  An  Improved  Generic  Bet-­‐and-­‐Run  Strategy  with  Performance  Prediction  for  Stochastic  

6621:  Distributional  Semantics  meets  Multi-­‐Label  Learning  

6632:  Orderly  Subspace  Clustering  

6635:  Enriching  Word  Embeddings  with  a  Regressor  Instead  of  Labeled  Corpora  

6649:  Jointly  Learning  to  Label  Sentences  and  Tokens  

6663:  Fast  Iterative  Combinatorial  Auctions  via  Bayesian  Learning  

6668:  Updates  in  Human-­‐AI  Teams:  Understanding  and  Addressing  the  

6669:  Concurrency  Debugging  with  Maximum  Satisfiability  

6672:  Machine  Learning  Methods  for  Automatic  Passive  Acoustic  Monitoring  of  the  African  

6708:  Learning  Optimal  and  Fair  Decision  Trees  for  Non-­‐Discriminative  Decision-­‐Making  

6710:  Improved  Knowledge  Graph  Embedding  using  Background  Taxonomic  Information  

6719:  DeepTileBars:  Visualizing  Term  Distribution  for  Neural  Information  Retrieval  

6721:  Towards  Non-­‐saturating  Recurrent  Units  for  Modelling  Long-­‐term  Dependencies  

6725:  An  Improved  Quasi-­‐Polynomial  Algorithm  for  Approximate  Well-­‐Supported  Nash  

6736:  IPOMDP-­‐Net:  A  Deep  Neural  Network  for  Partially  Observable  Multi-­‐Agent  Planning  using  

6747:  Dimension-­‐free  error  bounds  from  random  projections  

6748:  Distributed  PageRank  Computation:  An  Improved  Theoretical  Study  

6751:  Adversarial  actor-­‐critic  method  for  task  and  motion  planning  problems  using  planning  

6773:  TransConv:  Relationship  Embedding  in  Social  Networks  

6777:  RobustSTL:  A  Robust  Seasonal-­‐Trend  Decomposition  Procedure  for  Long  Time  Series  

6781:  On  Geometric  Alignment  in  Low  Doubling  Dimension  

6788:  ACM:  Adaptive  Cross-­‐Modal  Graph  Convolutional  Neural  Networks  for  RGB-­‐D  Scene  

6793:  PCGAN:  Partition-­‐Controlled  Human  Image  Generation  

6798:  Text  Assisted  Insight  Ranking  Using  Context-­‐Aware  Memory  Network  

6818:  Utilizing  Class  Information  for  DNN  Representation  Shaping  

6839:  Large  Scale  Learning  of  Agent  Rationality  in  Two-­‐Player  Zero-­‐Sum  Games  

6844:  Uncovering  Specific-­‐Shape  Graph  Anomalies  in  Attributed  Graphs  

6845:  Off-­‐Policy  Deep  Reinforcement  Learning  by  Bootstrapping  the  Covariate  Shift  

6869:  QuaRel:  A  Dataset  and  Models  for  Answering  Questions  about  Qualitative  Relationships  

6880:  Rigorous  Analysis  of  a  Label  Propagation  Algorithm  for  Distributed  Community  Detection  

6881:  Evolving  Solutions  to  Community-­‐Structured  Satisfiability  Formulas  

6886:  A  Deep  Reinforcement  Learning  based  Multi-­‐Step  Coarse  to  Fine  Question  Answering  

6893:  Localizing  Natural  Language  in  Videos  

6894:  MotionTransformer:  Transferring  Physical  Motion  Between  Domains  For  Neural  Inertial  

6897:  Reasoning  over  Knowledge  Graph  Paths  for  Recommendation  

6907:  Spatially  Invariant  Unsupervised  Object  Detection  with  Convolutional  Neural  Networks  

6915:  Generation  of  Policy-­‐Level  Explanations  for  Reinforcement  Learning  

6921:  Adding  Constraints  to  Bayesian  Inverse  Problems  

6940:  Adapting  Translation  Models  for  Transcript  Disfluency  Detection  

6951:  Improving  GAN  with  neighbors  embedding  and  gradient  matching  

6962:  Generalized  Planning  via  Abstraction:  Arbitrary  Numbers  of  Objects  

6971:  Interpretable  Predictive  Modeling  for  Climate  Variables  with  Weighted  Lasso  

6974:  RepeatNet:  A  Repeat  Aware  Neural  Recommendation  Machine  for  Session-­‐based  

6975:  AffinityNet:  Semi-­‐supervised  Few-­‐shot  Learning  for  Disease  Type  Prediction  

6992:  Spatio-­‐Temporal  Graph  Routing  for  Skeleton-­‐based  Action  Recognition  

7005:  VistaNet:  Visual  Aspect  Attention  Network  for  Multimodal  Sentiment  Analysis  

7009:  Predicting  and  Analyzing  Language  Specificity  in  Social  Media  Posts  

7013:  Bidirectional  Inference  Networks  with  Application  to  Health  Profiling  

7015:  Multi-­‐Fidelity  Automatic  Hyper-­‐Parameter  Tuning  via  Transfer  Series  Expansion  

7022:  Minimum  Intervention  Cover  of  a  Causal  Graph  

7023:  Improving  Search  with  Supervised  Learning  in  Trick-­‐Based  Card  Games  

7028:  Exploiting  Background  Knowledge  in  Compact  Answer  Generation  for  Why-­‐questions  

7061:  Story  Ending  Generation  with  Incremental  Encoding  and  Commonsense  Knowledge  

7063:  Composite  Binary  Decomposition  Network  

7085:  Anchors  Bring  Ease:  An  Embarrassingly  Simple  Approach  to  Partial  Multi-­‐view  Clustering  

7092:  GaitSet:  Regarding  Gait  as  a  Set  for  Cross-­‐View  Gait  Recognition  

7094:  Character  n-­‐gram  Embeddings  to  Improve  RNN  Language  Models  

7117:  Network  Structure  and  Transfer  Behaviors  Embedding  via  Deep  Prediction  Model  

7122:  Robust  Online  Matching  with  User  Arrival  Distribution  Drift  

7133:  Controllable  Image-­‐to-­‐Video  Translation:  A  Case  Study  on  Facial  Expression  Generation  

7138:  A  Hierarchical  Multi-­‐task  Approach  for  Learning  Embeddings  from  Semantic  Tasks  

7147:  Similarity  Preserving  Deep  Asymmetric  Quantization  for  Image  Retrieval  

7159:  Modelling  Autobiographical  Memory  Loss  Across  Life  Span  

7164:  Convolutional  Spatial  Attention  Model  for  Reading  Comprehension  with  Multiple-­‐Choice  

7182:  Multi-­‐Precision  Quantized  Neural  Networks  via  Encoding  Decomposition  of  {-­‐1,+1}  

7188:  Exploiting  Class  Learnability  in  Noisy  Data  

7194:  Learning  Logistic  Circuits  

7195:  CompareLDA:  A  Topic  Model  for  Document  Comparison  

7196:  ATOMIC:  An  Atlas  of  Machine  Commonsense  for  If-­‐Then  Reasoning  

7214:  WK-­‐VQA:  World  Knowledge-­‐enabled  Visual  Question  Answering  

7217:  Marginal  Inference  in  Continuous  Markov  Random  Fields  using  Mixtures  

7220:  Predicting  Argumenthood  of  English  Preposition  Phrases  

7221:  Wasserstein  Soft  Label  Propagation  on  Hypergraphs:  Algorithm  and  Generalization  Error  

7225:  Low-­‐rank  semidefinite  programming  for  the  MAX2SAT  problem  

7226:  Unsupervised  Bilingual  Lexicon  Induction  from  Mono-­‐lingual  Multimodal  Data  

7233:  Multi³Net:  Segmenting  Flooded  Buildings  via  Fusion  of  Multiresolution,  Multisensor,  and  

7236:  Revisiting  LSTM  Networks  for  Semi-­‐Supervised  Text  Classification  via  Mixed  Objective  

7240:  Matrix  Completion  for  Graph-­‐Based  Deep  Semi-­‐Supervised  Learning  

7242:  Words  Can  Shift:  Dynamically  Adjusting  Word  Representations  Using  Nonverbal  

7259:  Biologically  Motivated  Algorithms  for  Propagating  Local  Target  Representations  

7261:  Data  Augmentation  based  on  Adversarial  Autoencoder  Handling  Imbalance  for  Learning  

7290:  InfoVAE:  Balancing  Learning  and  Inference  in  Variational  Autoencoders  

7292:  Dueling  Bandits  with  Qualitative  Feedback  

7332:  Learning  Segmentation  Masks  with  the  Independence  Prior  

7354:  Found  in  Translation:  Learning  Robust  Joint  Representations  by  Cyclic  Translations  

7394:  Ladder  Gamma  Variational  Autoencoders  for  Graphs  

7397:  A  Model-­‐free  Affective  Reinforcement  Learning  Approach  to  Personalization  of  a  Social  

7399:  Clairvoyant  restarts  in  branch-­‐and-­‐bound  search  using  online  tree  size  estimation  

7403:  Tensor  Decomposition  for  Multilayer  Networks  Clustering  

7418:  Successor  Features  Based  Multi-­‐Agent  RL  for  Event-­‐Based  Decentralized  MDPs  

7422:  A  non-­‐convex  optimization  approach  to  correlation  clustering  

7437:  A  study  of  Education  Data  Mining:  Evidence  from  a  Thai  University  

7440:  A  Deep  Sequential  Model  for  Discourse  Parsing  on  Multi-­‐Party  Dialogues  

7447:  Multiagent  Decision  Making  For  Maritime  Traffic  Management  

7468:  Syntax-­‐aware  Neural  Semantic  Role  Labeling  

7476:  High  Dimensional  Clustering  with  $r$-­‐nets  

7479:  Factorization  Machines  for  Knowledge  Tracing  

7498:  Active  Sampling  for  Open-­‐Set  Classification  without  Initial  Annotation  

7499:  Learning  Phenotypes  and  Dynamic  Patient  Representations  via  RNN  Regularized  

7512:  PGANs:  Personalized  Generative  Adversarial  Networks  for  ECG  Generation  to  improve  

7543:  Multi-­‐Source  Neural  Variational  Inference  

7545:  Switch-­‐LSTMs  for  Multi-­‐Criteria  Chinese  Word  Segmentation  

7564:  Nearest-­‐Neighbour-­‐Induced  Isolation  Similarity  and  Its  Impact  on  Density-­‐Based  

7577:  An  Efficient  Approach  to  Informative  Feature  Extraction  from  Multimodal  Data  

7591:  Poll-­‐Confident  Voters  in  Iterative  Voting  

7598:  Hierarchical  Context  enabled  Recurrent  Neural  Network  for  Recommendation  

7605:  Axiomatic  Characterization  of  Data-­‐Driven  Influence  Measures  for  Classification  

7608:  Distant  Supervision  with  Adapted  Manual  Annotations  

7635:  Session-­‐based  Recommendation  with  Graph  Neural  Network  

7647:  Learning  Uniform  Semantic  Features  for  Natural  Language  and  Programming  Language  

7656:  GlobalTrait:  Personality  Alignment  of  Multilingual  Word  Embeddings  

7667:  On  the  Time  Complexity  of  Algorithm  Selection  Hyper-­‐Heuristics  for  Multimodal  

7688:  Towards  Automated  Semi-­‐Supervised  Learning  

7692:  Bi-­‐Kronecker  Functional  Diagrams:  A  Novel  Canonical  Representation  of  Boolean  

7703:  Paraphrase  Diversification  as  Guided  Style  Transfer  

7713:  Efficient  Quantization  for  Compact  Neural  Networks  with  Binary  Weights  and  Low  

7721:  Learning  Heterogeneous  Spatial-­‐Temporal  Representation  for  Bike-­‐sharing  Demand  

7770:  One  for  All:  Neural  Joint  Modeling  of  Entities  and  Events  

7772:  Randomized  Strategies  for  Robust  Combinatorial  Optimization  

7815:  Learning  to  Address  Health  Inequality  in  the  United  States  with  a  Bayesian  Decision  

7833:  Accurate  and  Interpretable  Factorization  Machines  

7837:  A  Robust  and  Efficient  Algorithm  for  the  PnL  problem  Using  Algebraic  Distance  to  

7839:  Overcoming  Blind  Spots  in  the  Real  World:  Leveraging  Complementary  Abilities  for  Joint  

7860:  Revisiting  Projection-­‐Free  Optimization  For  Strongly  Convex  Constraint  Sets  

7866:  Geometric  Hawkes  Processes  with  Graph  Convolutional  Recurrent  Neural  Networks  

7891:    Deictic  Image  Maps:  An  Abstraction  For  Learning  Pose  Invariant  Manipulation  Policies  

7899:  Plan-­‐Length  Bounds:  Beyond  1-­‐way  Dependency  

7938:  {Enhanced  Random  Forest  Algorithms  for  Partially  Monotone  Ordinal  Classification  

7946:  Active  Generative  Adversarial  Network  for  Image  Classification  Enhancement  

7954:  Universal  Approximation  Property  and  Equivalence  of  Stochastic  Computing-­‐based  

7955:  Gaussian-­‐Induced  Convolution  for  Graphs  

7976:  Robust  Estimation  of  Similarity  Transformation  for  Visual  Object  Tracking  

7996:  Parallel  Restarted  SGD  with  Faster  Convergence  and  Less  Communication:  Demystifying  

8001:  Can  We  Obtain  Reliable  Learning  Results  for  High  Stakes  Applications?  

8010:  Satisfiability  in  Strategy  Logic  can  be  Easier  than  Model  Checking  

8021:  Active  Mini-­‐Batch  Sampling  using  Repulsive  Point  Processes  

8023:  Hierarchical  Reinforcement  Learning  for  Course  Recommendation  in  MOOCs  

8047:  Modeling  Local  Dependence  in  Natural  Language  with  Multi-­‐channel  Recurrent  Neural  

8049:  Region-­‐based  Message  Exploration  over  Spatio-­‐Temporal  Data  Streams  

8103:  Bounding  Uncertainty  for  Active  Batch  Selection  

8106:  Direct  Training  for  Spiking  Neural  Networks:  Faster,  Larger,  Better  

8110:  Skill-­‐guided  Look-­‐ahead  Exploration  for  Reinforcement  Learning  ofManipulation  Policies  

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