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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)

Semi-Supervised Hierarchical Open-Set Classification WACV 2026 Semi-Supervised High Dynamic Range Image Reconstructing via Bi-Level Uncertain Area Masking AAAI 2026 Semi-supervised Key-Point Estimation for Echocardiography Video WACV 2026 Semi-supervised Latent Disentangled Diffusion Model for Textile Pattern Generation AAAI 2026 Semi-supervised learning for linear extremile regression JMLR 2026 Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples AAAI 2026 Semi-Supervised Semantic Segmentation via Derivative Label Propagation AAAI 2026 Semi-Supervised Synthetic Data Generation with Fine-Grained Relevance Control for Short Video Search Relevance Modeling AAAI 2026 SEQRET: Mining Rule Sets from Event Sequences AAAI 2026 SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection AAAI 2026 SeViL: Semi-supervised Vision-Language Learning with Text Prompt Guiding for Moving Infrared Small Target Detection AAAI 2026 SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs AAAI 2026 SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems AAAI 2026 SHADOW: Dynamic-Aware Credit Assignment Against Long-Horizon Tasks AAAI 2026 Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation AAAI 2026 SHARE: Synthesizing Heterogeneous Autism-support Records into Evidence-based Recommendations AAAI 2026 Sharp analysis of linear ensemble sampling COLT 2026 Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization AAAI 2026 Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation AAAI 2026 ShefFriday at SemEval-2026 Task 9: LLM-Based Annotation Methods for Detecting Multilingual, Multicultural and Multievent Online Polarisation SemEval 2026 Shortcut Learning Susceptibility in Vision Classifiers (Student Abstract) AAAI 2026 Should You Use Your Large Language Model to Explore or Exploit? UAI 2026 SigFusion: Unified Signal-Level Self-Supervised Learning Paradigm for Image Fusion AAAI 2026 SilkPeak at SemEval-2026 Task 6: When Politicians Dodge — Unmasking Evasion in Political Interviews through Joint Multi-Task Transformer Learning SemEval 2026 Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning CVPR 2026