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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)

Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons UAI 2026 Finding Time Series Anomalies Using Granular-Ball Vector Data Description AAAI 2026 FINE: Factorized Multimodal Sentiment Analysis via Mutual INformation Estimation AAAI 2026 Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection AAAI 2026 FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations AAAI 2026 Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning CVPR 2026 First Learn, Then Review: Human-Like Continual Learning for Cross-View Geo-Localization with Limited Field of View AAAI 2026 Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis UAI 2026 Flickering Multi-Armed Bandits L4DC 2026 FlowCLAS: Enhancing Normalizing Flow-Based Anomaly Segmentation Via Contrastive Learning WACV 2026 FlowEO: Generative Unsupervised Domain Adaptation for Earth Observation WACV 2026 FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models CVPR 2026 FNOPT: Resolution-Agnostic, Self-Supervised Cloth Simulation using Meta-Optimization with Fourier Neural Operators WACV 2026 Forget Less by Learning from Parents Through Hierarchical Relationships AAAI 2026 Forget Less by Learning Together through Concept Consolidation WACV 2026 Forgetting by Pruning: Data Deletion in Join Cardinality Estimation AAAI 2026 Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models AAAI 2026 Formalizing Task-Space Complexity for Zero-Shot Generalization L4DC 2026 Foundation-Adaptive Integrated Refinement for Generalized Category Discovery AAAI 2026 Foundation Encoders Are All You Need for Preference-Aware Personalization CVPR 2026 Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: √T-Regret L4DC 2026 Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems AAAI 2026 Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation AAAI 2026 FRBAT: Conditionally-Visible Physical Backdoor Attack via Fluorescence AAAI 2026 Frequency Is What You Need: Considering Word Frequency When Text Masking Benefits Vision-Language Model Pre-training WACV 2026