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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)

Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation IJCAI 2021 Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization ICML 2021 Learning Normal Dynamics in Videos With Meta Prototype Network CVPR 2021 Learning of Structurally Unambiguous Probabilistic Grammars AAAI 2021 Learning of Visual Relations: The Devil Is in the Tails ICCV 2021 Learning One Representation to Optimize All Rewards NeurIPS 2021 Learning Opinion Summarizers by Selecting Informative Reviews EMNLP 2021 Learning partial correlation graphs and graphical models by covariance queries JMLR 2021 Learning Placeholders for Open-Set Recognition CVPR 2021 Learning Precise Temporal Point Event Detection with Misaligned Labels AAAI 2021 Learning Prediction Intervals for Model Performance AAAI 2021 Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021 Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging UAI 2021 Learning Proofs of Motion Planning Infeasibility RSS 2021 Learning Prototype Representations Across Few-Shot Tasks for Event Detection EMNLP 2021 Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization ICML 2021 Learning Rare Category Classifiers on a Tight Labeling Budget ICCV 2021 Learning Realistic Human Reposing Using Cyclic Self-Supervision With 3D Shape, Pose, and Appearance Consistency ICCV 2021 Learning Recurrent Neural Net Models of Nonlinear Systems L4DC 2021 Learning Relatedness between Types with Prototypes for Relation Extraction EACL 2021 Learning Representations for Incomplete Time Series Clustering AAAI 2021 Learning Reward Functions from Scale Feedback CoRL 2021 Learning Rewards From Linguistic Feedback AAAI 2021 Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies NeurIPS 2021 Learning Robust Speech Representation with an Articulatory-Regularized Variational Autoencoder Interspeech 2021