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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)

ExPerT: Personalizing LLM Responses to Users’ Domain Expertise via Query-Wise Semantic and Keystroke Behavioral Cues ACL 2026 Explainable Depression Assessment from Face Videos by Weakly Supervised Learning AAAI 2026 Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation AAAI 2026 Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning AAAI 2026 Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation AAAI 2026 Exploiting Concavity Information in Contextual Bandit Optimization UAI 2026 Exploiting Label-Independent Regularization from Spatial Patterns for Whole Slide Image Analysis WACV 2026 Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks AAAI 2026 Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs AAAI 2026 Explore, Refine, then Commit: Nearly Optimal Multi-Group Mean Estimation with Active Learning UAI 2026 Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom Data WACV 2026 Exploring Conditions for Diffusion Models in Robotic Control CVPR 2026 Exploring Domain Generalization and Subpopulation Shift for Generalizable Graph-Level Anomaly Detection AAAI 2026 Exploring Entropy-based Active Learning for Fair Brain Segmentation MIDL 2026 Exploring Modality-Aware Fusion and Decoupled Temporal Propagation for Multi-Modal Object Tracking AAAI 2026 Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling JMLR 2026 Exploring Reliable Spatiotemporal Dependencies for Efficient Visual Tracking AAAI 2026 Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration AAAI 2026 Extending ASR Evaluation Resources for Modern Greek Dialects EACL 2026 Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification JMLR 2026 Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System AAAI 2026 FACTrial: Factorized Clinical Contrastive Training for Scalable Patient-Trial Retrieval ACL 2026 Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems AAAI 2026 FAID: Fine-grained AI-generated Text Detection using Multi-task Auxiliary and Multi-level Contrastive Learning EACL 2026 Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables UAI 2026