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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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Papers (including subtopics)

Learning Getting-Up Policies for Real-World Humanoid Robots RSS 2025 Learning Graph Invariance by Harnessing Spuriosity ICLR 2025 Learning Graph Quantized Tokenizers ICLR 2025 Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images CVPR 2025 Learning Hierarchical Polynomials of Multiple Nonlinear Features ICLR 2025 Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span AISTATS 2025 Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data ICLR 2025 Learning Is Not A Race: Improving Retrieval in Language Models via Equal Learning EMNLP 2025 Learning Joint Behaviors with Large Variations AAAI 2025 Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision WACV 2025 Learning Language Structures Through Grounding AAAI 2025 Learning Language through Grounding NAACL 2025 Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation EMNLP 2025 Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach AAAI 2025 Learning Mask Invariant Mutual Information for Masked Image Modeling ICLR 2025 Learning mirror maps in policy mirror descent ICLR 2025 Learning Molecular Representation in a Cell ICLR 2025 Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization AAAI 2025 Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes IJCAI 2025 Learning Optimal Auctions with Correlated Value Distributions AAAI 2025 Learning Pareto manifolds in high dimensions: How can regularization help? AISTATS 2025 Learning Personalized Decision Support Policies AAAI 2025 Learning Person-Specific Animatable Face Models from In-the-Wild Images via a Shared Base Model CVPR 2025 Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems CVPR 2025 Learning Real Facial Concepts for Independent Deepfake Detection IJCAI 2025