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Algorithms: Recommender systems survey (2013)
Algorithms: Deep Learning based Recommender System: A Survey and New Perspectives (2019)
Algorithms: Are We Really Making Progress? An Analysis of Neural Recommendation Approaches (2019)
Serendipity: A Survey of Serendipity in Recommender Systems (2016)
Diversity: Diversity in Recommender Systems – A survey (2017)
Explanations: A Survey of Explanations in Recommender Systems (2007)
Architecture: A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)
Knowledge distillation: Knowledge Distillation: A Survey (2021)
Model compression: Compression of Deep Learning Models for Text: A Survey (2020)
Transfer learning: A Survey on Deep Transfer Learning (2018)
Neural architecture search: A Comprehensive Survey of Neural Architecture Search (2021)
Neural architecture search: Neural Architecture Search: A Survey (2019)
Deep Learning: Recent Trends in Deep Learning Based Natural Language Processing (2018)
Classification: Deep Learning Based Text Classification: A Comprehensive Review (2021)
Generation: Survey of the SOTA in Natural Language Generation: Core tasks, applications and evaluation (2018)
Generation: Neural Language Generation: Formulation, Methods, and Evaluation (2020)
Transfer learning: Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer (2020)
Transformers: Efficient Transformers: A Survey (2020)
Metrics: Beyond Accuracy: Behavioral Testing of NLP Models with CheckList (2020)
Metrics: Evaluation of Text Generation: A Survey (2020)
Object detection: Object Detection in 20 Years (2019)
Adversarial attacks: Threat of Adversarial Attacks on Deep Learning in Computer Vision (2018)
Autonomous vehicles: Computer Vision for Autonomous Vehicles: Problems, Datasets and SOTA (2021)
Image Captioning: A Comprehensive Survey of Deep Learning for Image Captioning (2018)
Algorithms: A Brief Survey of Deep Reinforcement Learning (2017)
Transfer learning: Transfer Learning for Reinforcement Learning Domains (2009)
Economics: Review of Deep Reinforcement Learning Methods and Applications in Economics (2020)
Discovery: Deep Reinforcement Learning for Search, Recommendation, and Online Advertising (2018)
Text: From Word to Sense Embeddings:A Survey on Vector Representations of Meaning (2018)
Text: Diachronic Word Embeddings and Semantic Shifts (2018)
Text: Word Embeddings: A Survey (2019)
Text: A Reproducible Survey on Word Embeddings and Ontology-based Methods for Word Similarity (2019)
Graph: A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications (2017)
NLP: Meta-learning for Few-shot Natural Language Processing: A Survey (2020)
Domain Agnostic: Learning from Few Samples: A Survey (2020)
Neural Networks: Meta-Learning in Neural Networks: A Survey (2020)
Domain Agnostic: A Comprehensive Overview and Survey of Recent Advances in Meta-Learning (2020)
Domain Agnostic: Baby steps towards few-shot learning with multiple semantics (2020)
Domain Agnostic: Meta-Learning: A Survey (2018)
Domain Agnostic: A Perspective View And Survey Of Meta-learning (2002)
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