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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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'10
'15
'20
'25

Papers (including subtopics)

Action Recognition by Hierarchical Mid-Level Action Elements ICCV 2015 Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances CVPR 2015 Active Learning for Structured Probabilistic Models With Histogram Approximation CVPR 2015 Active Learning from Weak and Strong Labelers NeurIPS 2015 Active Nearest Neighbors in Changing Environments ICML 2015 Active Pointillistic Pattern Search AISTATS 2015 Active Sample Selection and Correction Propagation on a Gradually-Augmented Graph CVPR 2015 Active Transfer Learning With Zero-Shot Priors: Reusing Past Datasets for Future Tasks ICCV 2015 Adaptive Dither Voting for Robust Spatial Verification ICCV 2015 Adaptive Hashing for Fast Similarity Search ICCV 2015 Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NeurIPS 2015 Adaptively Unified Semi-Supervised Dictionary Learning With Active Points ICCV 2015 Adaptive Online Learning NeurIPS 2015 A Deeper Look at Planning as Learning from Replay ICML 2015 A Dirichlet Process Mixture Model for Spherical Data AISTATS 2015 Adversarial Prediction Games for Multivariate Losses NeurIPS 2015 A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NeurIPS 2015 Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits NeurIPS 2015 An Active Learning Framework using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching NeurIPS 2015 An Active Search Strategy for Efficient Object Class Detection CVPR 2015 An Online Learning Algorithm for Bilinear Models ICML 2015 A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis ICCV 2015 Approval Voting and Incentives in Crowdsourcing ICML 2015 Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015 Approximating Sparse PCA from Incomplete Data NeurIPS 2015