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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 Robust State Abstractions for Hidden-Parameter Block MDPs ICLR 2021 Learning Routines for Effective Off-Policy Reinforcement Learning ICML 2021 Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution CVPR 2021 Learning Self-Similarity in Space and Time As Generalized Motion for Video Action Recognition ICCV 2021 Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection AAAI 2021 Learning Shape Representations for Person Re-Identification Under Clothing Change WACV 2021 Learning Shared Subgraphs in Ising Model Pairs AISTATS 2021 Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders ACL 2021 Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data CVPR 2021 Learning State Representations from Random Deep Action-conditional Predictions NeurIPS 2021 Learning Stochastic Behaviour from Aggregate Data ICML 2021 Learning Strategies in Decentralized Matching Markets under Uncertain Preferences JMLR 2021 Learning Subgoal Representations with Slow Dynamics ICLR 2021 Learning Target Candidate Association To Keep Track of What Not To Track ICCV 2021 Learning Task Decomposition with Ordered Memory Policy Network ICLR 2021 Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021 Learning Task Informed Abstractions ICML 2021 Learning Task Sampling Policy for Multitask Learning EMNLP 2021 Learning Temporal Dynamics From Cycles in Narrated Video ICCV 2021 Learning Temporal Plan Preferences from Examples: An Empirical Study IJCAI 2021 Learning Temporal Point Processes with Intermittent Observations AISTATS 2021 Learning the optimal Tikhonov regularizer for inverse problems NeurIPS 2021 Learning the Predictability of the Future CVPR 2021 Learning the Superpixel in a Non-Iterative and Lifelong Manner CVPR 2021 Learning the Truth From Only One Side of the Story AISTATS 2021