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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 and Privacy-Preserving Representations via Information Theory AAAI 2025 Learning Robust Multi-view Representation Using Dual-masked VAEs IJCAI 2025 Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning ICLR 2025 Learning Robust XGBoost Ensembles for Regression Tasks UAI 2025 Learning Semi-Supervised Medical Image Segmentation from Spatial Registration WACV 2025 Learning Set Functions with Implicit Differentiation AAAI 2025 Learning signals defined on graphs with optimal transport and Gaussian process regression AISTATS 2025 Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation EMNLP 2025 Learning Strategy Representation for Imitation Learning in Multi-Agent Games AAAI 2025 Learning Streaming Video Representation via Multitask Training ICCV 2025 Learning Structural Causal Models from Ordering: Identifiable Flow Models AAAI 2025 Learning Structured World Models From and For Physical Interactions AAAI 2025 Learning Subjective Label Distributions via Sociocultural Descriptors EMNLP 2025 Learning Successor Features with Distributed Hebbian Temporal Memory ICLR 2025 Learning system dynamics without forgetting ICLR 2025 Learning Task Representations from In-Context Learning ACL 2025 Learning Textual Prompts for Open-World Semi-Supervised Learning CVPR 2025 Learning the Complexity of Weakly Noisy Quantum States ICLR 2025 Learning the Distribution Map in Reverse Causal Performative Prediction AISTATS 2025 Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test ICLR 2025 Learning the Pareto Front Using Bootstrapped Observation Samples AISTATS 2025 Learning the Power of "No": Foundation Models with Negations WACV 2025 Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training ICLR 2025 Learning to Collaborate with Unknown Agents in the Absence of Reward AAAI 2025 Learning to Count from Pseudo-Labeled Segmentation WACV 2025