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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)

Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via sequence-level likelihood ACL 2026 To make someone do something: mining alert-style directives in Bulgarian social media for low-resource language modelling EACL 2026 ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning AAAI 2026 To Paraphrase or Not: Efficient Comment Detoxification with Unsupervised Detoxifiability Discrimination EACL 2026 TopoCL: Topological Contrastive Learning for Medical Imaging CVPR 2026 Topology-aware Knowledge Preservation for Class-Incremental Learning AAAI 2026 Topology-Inspired Backward-Free Framework for Test-Time Adaptation in Medical Detection AAAI 2026 TOSC: Task-Oriented Shape Completion for Open-World Dexterous Grasp Generation from Partial Point Clouds AAAI 2026 Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance AAAI 2026 Toward Causal Foundation World Models: From Representation to Decision-Making AAAI 2026 Toward Gaze Target Detection of Young Autistic Children AAAI 2026 Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning AAAI 2026 Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint) AAAI 2026 Towards Better Code Understanding in Decoder-Only Models with Contrastive Learning AAAI 2026 Towards Better Correctness and Efficiency in Code Generation AAAI 2026 Towards Calibrating Prompt Tuning of Vision- Language Models CVPR 2026 Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios AAAI 2026 Towards Continually-Evolving AI: Selective and Expandable Multimodal Memory System AAAI 2026 Towards Distance-Invariant Radio Frequency Fingerprinting via Augmented Unsupervised Learning AAAI 2026 Towards Effective Code-Integrated Reasoning AAAI 2026 Towards Egocentric 3D Hand Pose Estimation in Unseen Domains WACV 2026 Towards High-Fidelity, Identity-Preserving Real-Time Makeup Transfer: Decoupling Style Generation WACV 2026 Towards Highly Transferable Vision-Language Attack via Semantic-Augmented Dynamic Contrastive Interaction CVPR 2026 Toward Simultaneously Optimal Regret in U-Calibration COLT 2026 Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space AAAI 2026