AAAI-19录用论文_rr-gan: single image rain removal without paired i

作者：凡人多烦事01 | 2024-02-09 13:43:22
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rr-gan: single image rain removal without paired information
元学习论文总结||小样本学习论文总结
2017-2019年计算机视觉顶会文章收录 AAAI2017-2019 CVPR2017-2019 ECCV2018 ICCV2017-2019 ICLR2017-2019 NIPS2017-2019
https://blog.csdn.net/u014636245/article/details/86661830

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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