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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)

Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition CVPR 2023 Action Matching: Learning Stochastic Dynamics from Samples ICML 2023 Actionness Inconsistency-Guided Contrastive Learning for Weakly-Supervised Temporal Action Localization AAAI 2023 Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization IJCAI 2023 Activate and Reject: Towards Safe Domain Generalization under Category Shift ICCV 2023 ActiveAED: A Human in the Loop Improves Annotation Error Detection ACL 2023 Active Bipartite Ranking NeurIPS 2023 Active causal structure learning with advice ICML 2023 Active Cost-aware Labeling of Streaming Data AISTATS 2023 Active Coverage for PAC Reinforcement Learning COLT 2023 Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition CVPR 2023 Active Exploration via Experiment Design in Markov Chains AISTATS 2023 Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm CVPR 2023 Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks EMNLP 2023 Active Learning-Based Species Range Estimation NeurIPS 2023 Active Learning based Structural Inference ICML 2023 Active Learning for Abnormal Lung Sound Data Curation and Detection in Asthma Interspeech 2023 Active Learning for Multilingual Semantic Parser EACL 2023 Active Learning for Natural Language Generation EMNLP 2023 Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation ICLR 2023 Active Learning for Semantic Segmentation with Multi-class Label Query NeurIPS 2023 Active Learning for Single Neuron Models with Lipschitz Non-Linearities AISTATS 2023 Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle ICLR 2023 Active Learning Principles for In-Context Learning with Large Language Models EMNLP 2023 Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023