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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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2000
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Papers (including subtopics)

Coresets via Bilevel Optimization for Continual Learning and Streaming NeurIPS 2020 Corpus-Level End-to-End Exploration for Interactive Systems AAAI 2020 Correcting Predictions for Approximate Bayesian Inference AAAI 2020 Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos IJCAI 2020 Cosine-Distance Virtual Adversarial Training for Semi-Supervised Speaker-Discriminative Acoustic Embeddings Interspeech 2020 CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering COLING 2020 Cost-Accuracy Aware Adaptive Labeling for Active Learning AAAI 2020 Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020 Cost-Effective Interactive Attention Learning with Neural Attention Processes ICML 2020 CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation CoRL 2020 COT-GAN: Generating Sequential Data via Causal Optimal Transport NeurIPS 2020 COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment AAAI 2020 Count-Based Exploration with the Successor Representation AAAI 2020 Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding NeurIPS 2020 Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition EMNLP 2020 Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data EMNLP 2020 Counterfactual Off-Policy Training for Neural Dialogue Generation EMNLP 2020 Counterfactual Prediction for Bundle Treatment NeurIPS 2020 Counterfactual Predictions under Runtime Confounding NeurIPS 2020 Counterfactual Programming for Optimal Control L4DC 2020 Counterfactual Samples Synthesizing for Robust Visual Question Answering CVPR 2020 Counterfactual Vision and Language Learning CVPR 2020 Counterfactual Vision-and-Language Navigation: Unravelling the Unseen NeurIPS 2020 Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations EMNLP 2020 Coupled-View Deep Classifier Learning from Multiple Noisy Annotators AAAI 2020