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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)

Context-Aware Patch Representations for Multiple Instance Learning MIDL 2026 Contextual Relevance and Adaptive Sampling for LLM-Based Document Reranking ACL 2026 Continual Neural Topic Model EACL 2026 Continual Out-of-Distribution Detection with Analytic Neural Collapse AAAI 2026 Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning AAAI 2026 Contrastive Learning with Narrative Twins for Modeling Story Salience EACL 2026 Controlling Path Dependence in Gradient Ascent Unlearning through Forget-Set Ordering UAI 2026 Convex Clustering Redefined: Robust Learning with the Median of Means Estimator AAAI 2026 COODetect at SemEval-2026 Task 13: Unsupervised Latent Domain Adaptation for Out-of-Distribution AI Code Detection SemEval 2026 CORA: Consistency-Guided Semi-Supervised Framework for Reasoning Segmentation WACV 2026 CoReTab: Improving Multimodal Table Understanding with Code-driven Reasoning EACL 2026 CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model AAAI 2026 Corruptions of Supervised Learning Problems: Typology and Mitigations JMLR 2026 Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain Adaptation WACV 2026 Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction AAAI 2026 Countering Multi-modal Representation Collapse through Rank-targeted Fusion WACV 2026 CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones WACV 2026 Coupling Liquid Time-Constant Encoders with Modern Hopfield Memory CVPR 2026 CP-CLIP: Customized Parameter Generation for Open-vocabulary Semantic Segmentation AAAI 2026 CP-FREEZER: Latency Attacks Against Vehicular Cooperative Perception AAAI 2026 CR³: Boosting Compositional Reasoning in MLLMs Through Rule-Based Reinforcement Learning AAAI 2026 CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think CVPR 2026 Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization EACL 2026 Crash2DocAI: Automated Integration of Post-Crash Car Part Images into Technical Reports WACV 2026 Creating Blank Canvas Against AI-enabled Image Forgery AAAI 2026