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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

1
20
220
477
4,652
9,258
2000
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'25

Papers (including subtopics)

Learning to Segment the Tail CVPR 2020 Learning to Select Base Classes for Few-Shot Classification CVPR 2020 Learning to Simulate Complex Physics with Graph Networks ICML 2020 Learning to Slide Unknown Objects with Differentiable Physics Simulations RSS 2020 Learning to summarize with human feedback NeurIPS 2020 Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge ACL 2020 Learning to Transfer: Unsupervised Domain Translation via Meta-Learning AAAI 2020 Learning to Walk in the Real World with Minimal Human Effort CoRL 2020 Learning Transferable Adversarial Examples via Ghost Networks AAAI 2020 Learning Unseen Concepts via Hierarchical Decomposition and Composition CVPR 2020 Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract) IJCAI 2020 Learning Utilities and Equilibria in Non-Truthful Auctions NeurIPS 2020 Learning Video Object Segmentation From Unlabeled Videos CVPR 2020 Learning Visual Emotion Representations From Web Data CVPR 2020 Learning Visual Motion Segmentation Using Event Surfaces CVPR 2020 Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context ACL 2020 Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually) EMNLP 2020 Learning with Bounded Instance and Label-dependent Label Noise ICML 2020 Learning with Contrastive Examples for Data-to-Text Generation COLING 2020 Learning with Feature and Distribution Evolvable Streams ICML 2020 Learning with Good Feature Representations in Bandits and in RL with a Generative Model ICML 2020 Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data IJCAI 2020 Learning with Multiple Complementary Labels ICML 2020 Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling IJCAI 2020 Learning with Unsure Responses AAAI 2020