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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Efficient Parametric Approximations of Neural Network Function Space Distance ICML 2023 Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning AISTATS 2023 Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric NeurIPS 2023 Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation ICML 2023 Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision MLHC 2023 Efficient RGB-T Tracking via Cross-Modality Distillation CVPR 2023 Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations NeurIPS 2023 Efficient SAGE Estimation via Causal Structure Learning AISTATS 2023 Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language ICML 2023 Efficient Testable Learning of Halfspaces with Adversarial Label Noise NeurIPS 2023 Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction NeurIPS 2023 Efficient Training of Language Models using Few-Shot Learning ICML 2023 Ego-Body Pose Estimation via Ego-Head Pose Estimation CVPR 2023 Egocentric Video Task Translation CVPR 2023 EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding NeurIPS 2023 EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding ICCV 2023 EgoTV: Egocentric Task Verification from Natural Language Task Descriptions ICCV 2023 Ego-Vehicle Action Recognition Based on Semi-Supervised Contrastive Learning WACV 2023 Elaboration-Generating Commonsense Question Answering at Scale ACL 2023 ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices ICCV 2023 Elevating Code-mixed Text Handling through Auditory Information of Words EMNLP 2023 Eliciting Affective Events from Language Models by Multiple View Co-prompting ACL 2023 Eliciting Rich Positive Emotions in Dialogue Generation ACL 2023 Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning AAAI 2023 Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration ICML 2023