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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

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Papers (including subtopics)

RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation CVPR 2019 Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes EMNLP 2019 Representation Learning-Assisted Click-Through Rate Prediction IJCAI 2019 Representation Learning on Graphs: A Reinforcement Learning Application AISTATS 2019 Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning CVPR 2019 Residual Compensation Networks for Heterogeneous Face Recognition AAAI 2019 Residual Regression With Semantic Prior for Crowd Counting CVPR 2019 Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders AAAI 2019 ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies NeurIPS 2019 Restoring ancient text using deep learning: a case study on Greek epigraphy EMNLP 2019 Rethinking Attribute Representation and Injection for Sentiment Classification EMNLP 2019 Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP 2019 Rethinking ImageNet Pre-Training ICCV 2019 Rethinking Knowledge Graph Propagation for Zero-Shot Learning CVPR 2019 Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach AAAI 2019 Rethinking the Evaluation of Video Summaries CVPR 2019 Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective ICCV 2019 Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples CVPR 2019 Retrieval-Enhanced Adversarial Training for Neural Response Generation ACL 2019 Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation ACL 2019 “Reverse Gerrymandering”: Manipulation in Multi-Group Decision Making AAAI 2019 Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness NeurIPS 2019 Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models? Interspeech 2019 Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks ACL 2019 Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training NAACL 2019