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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Wasserstein-Aligned Hyperbolic Multi-View Clustering AAAI 2026 Weakly-supervised Argument Mining with Boundary Refinement and Relation Denoising EACL 2026 Weakly-Supervised Image Forgery Localization via Vision-Language Collaborative Reasoning Framework AAAI 2026 Weakly Supervised Named Entity Recognition for Historical Texts EACL 2026 Wearable Intelligence for Healthcare Robotics: From Brain Activity to Body Movements AAAI 2026 Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits UAI 2026 What Do LLMs Learn First? Asymmetric Learning Dynamics of Input Complexity and Output Ambiguity in Preference Alignment ACL 2026 What Happens When: Learning Temporal Orders of Events in Videos WACV 2026 What's Wrong with Synthetic Data for Scene Text Recognition? A Strong Synthetic Engine with Diverse Simulations and Self-Evolution CVPR 2026 What to Trust? A Trust-aware Knowledge-guided Method for Zero-shot Object State Understanding in Videos AAAI 2026 What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning AAAI 2026 When and How Often is Weighted Majority Vote Optimal Under Log Loss? UAI 2026 When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval ACL 2026 When Does Model Multiplicity Affect Prediction Intervals? A Sharp Phase Transition UAI 2026 When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction L4DC 2026 When Eyes and Ears Disagree: Can MLLMs Discern Audio-Visual Confusion? AAAI 2026 When High Accuracy Hides Poor Calibration: Rethinking Confidence Evaluation in Transformer-Based Text Classification with Balanced Brier Score ACL 2026 When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents ACL 2026 When Person Re-Identification Meets Event Camera: A Benchmark Dataset and an Attribute-Guided Re-Identification Framework AAAI 2026 Where do LLMs currently stand on biomedical NER in both clean and noisy settings ? EACL 2026 Whole-Body Coordination for Dynamic Object Grasping with Legged Manipulators AAAI 2026 Who You Are, What You Say: Intra- and Inter- Context Personality for Emotion Recognition in Conversation EACL 2026 WildReward: Learning Reward Models from In-the-Wild Human Interactions ACL 2026 Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration UAI 2026 Worst-case Error Bounds for Online Learning of Smooth Functions COLT 2026