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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)

ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026 Osint at SemEval-2026 Task 13: A Distribution-Aware Framework for Machine-Generated Code Detection and Multi-Source Authorship Attribution SemEval 2026 OTI: A Model-free and Visually Interpretable Measure of Image Attackability AAAI 2026 Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV AAAI 2026 Overcoming Dependent Censoring in the Evaluation of Survival Models UAI 2026 Overcoming Fine-Grained Visual Challenges in Animal Re-Identification via Semantic Feature Alignment WACV 2026 Overcoming Small Data Limitations in Video-Based Infant Respiration Estimation WACV 2026 OVOD-Agent: A Markov-Bandit Framework for Proactive Visual Reasoning and Self-Evolving Detection CVPR 2026 OW-DAR: Dual-Granularity Adaptive Reconstruction-Error Modeling for Open-World Object Detection AAAI 2026 OWL: Unsupervised 3D Object Detection by Occupancy Guided Warm-up and Large Model Priors Reasoning AAAI 2026 OW-Rep: Open World Object Detection with Instance Representation Learning WACV 2026 OxEnsemble: Fair Ensembles for Low-Data Classification MIDL 2026 Oxytrees: Model Trees for Bipartite Learning AAAI 2026 P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering AAAI 2026 PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses ALT 2026 PA-FAS: Towards Interpretable and Generalizable Multimodal Face Anti-Spoofing via Path-Augmented Reinforcement Learning AAAI 2026 Pairing-free Group-level Knowledge Distillation for Robust Gastrointestinal Lesion Classification in White-Light Endoscopy AAAI 2026 Palimpsest: Reconciling the CISS Trilemma for Incremental Nuclei Segmentation AAAI 2026 PANDA – Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning AAAI 2026 PaRaChute: Pathology-Radiology Cross-Modal Fusion for Missing-Modality-Robust Survival Prediction WACV 2026 ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech AAAI 2026 Parameter-Efficient Semantic Augmentation for Enhancing Open-Vocabulary Object Detection CVPR 2026 Parameter-Free Clustering via Self-Supervised Consensus Maximization AAAI 2026 Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning AAAI 2026 PARS: Partial-Label-Learning-inspired Recommender Systems AAAI 2026