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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)

Bandit Learning for Online Scheduling with Immediate Decision UAI 2026 Bandwidth Selection in Kernel Density Estimation for Model Calibration UAI 2026 Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation CVPR 2026 BAT: Learning Event-based Optical Flow with Bidirectional Adaptive Temporal Correlation AAAI 2026 Bayesian Experimental Design via Score Matching UAI 2026 Bayesian Symbolic Regression with Entropic Reinforcement Learning UAI 2026 B&B at SemEval-2026 Task 6: A RoBERTa-based Model with NLI-derived Semantic Features for Clarity-Level Classification of Political Question Evasion SemEval 2026 BCE3S: Binary Cross-Entropy Based Tripartite Synergistic Learning for Long-Tailed Recognition AAAI 2026 BDLF-Qwen3: Enhanced Cross-Architecture Binary Function Similarity Detection Through Binary Dynamic Layer Fusion AAAI 2026 BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning CVPR 2026 BeautyGRPO: Aesthetic Alignment for Face Retouching via Dynamic Path Guidance and Fine-Grained Preference Modeling CVPR 2026 Becoming Experienced Judges: Selective Test-Time Learning for Evaluators EACL 2026 BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes ACL 2026 BERT, are you paying attention? Attention regularization with human-annotated rationales EACL 2026 Best Arm Identification with Biased Contexts AAAI 2026 Best Arm Identification with Minimal Regret JMLR 2026 Better Generalizing to Unseen Concepts: An Evaluation Framework and An LLM-Based Auto-Labeled Pipeline for Biomedical Concept Recognition EACL 2026 Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection AAAI 2026 Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection AAAI 2026 Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection AAAI 2026 Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift ALT 2026 Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization AAAI 2026 Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment AAAI 2026 Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting AAAI 2026 Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection AAAI 2026