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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)

Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression COLT 2026 Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning AAAI 2026 Self-Supervised Compression and Artifact Correction for Streaming Underwater Imaging Sonar WACV 2026 Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification AAAI 2026 Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning AAAI 2026 Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction AAAI 2026 Self-Supervised Inductive Logic Programming AAAI 2026 Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation AAAI 2026 Self-supervised Multiplex Consensus Mamba for General Image Fusion AAAI 2026 Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging AAAI 2026 Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection AAAI 2026 Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection WACV 2026 Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation (Abstract Reprint) AAAI 2026 Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration AAAI 2026 Semantic-Aware Feature Enhancement for Partial Label Learning AAAI 2026 Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval AAAI 2026 Semantic Feature Purification for Adversarially-Aware RGB-T Tracking AAAI 2026 Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models AAAI 2026 Semantic Stars at MWE-2026 PARSEME 2.0 Subtask 2: Alternative Approaches for MWE Paraphrasing EACL 2026 Semantic Vectors at SemEval-2026 Task 9: Robust Multilingual Polarization Detection via Dual-Encoder Fusion and Expert Ensembling SemEval 2026 SEMC: Structure-Enhanced Mixture-of-Experts Contrastive Learning for Ultrasound Standard Plane Recognition AAAI 2026 SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection SemEval 2026 SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models SemEval 2026 Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score CVPR 2026 Semi-supervised Domain Adaptation via Mutual Alignment through Joint Error WACV 2026