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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)

MorphoFiltered-Gemini at MWE-2026 PARSEME 2.0 Subtask 1: Tackling LLM Overgeneration via Universal POS-based Constraints EACL 2026 MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning EACL 2026 MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity AAAI 2026 MSME: A Multi-Stage Multi-Expert Framework for Zero-Shot Stance Detection AAAI 2026 MSPCaps: A Multi-Scale Patchify Capsule Network with Cross-Agreement Routing for Visual Recognition AAAI 2026 MSPT: Efficient Large-Scale Physical Modeling via Parallelized Multi-Scale Attention CVPR 2026 MSqrd at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization SemEval 2026 MTA:A Merge-then-Adapt Framework for Personalized Large Language Models ACL 2026 MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion AAAI 2026 MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training AAAI 2026 Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection AAAI 2026 Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality ALT 2026 Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation AAAI 2026 Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation AAAI 2026 Multi-graph Fusion Cross-model Contrastive Learning for Recommendation AAAI 2026 Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks AAAI 2026 Multi-Label Classification with Incremental and Decremental Features AAAI 2026 Multi-Label Polarization Classification with twHIN-BERT and SCUT Threshold Optimization SemEval 2026 Multi-Level Domain Adaptation and Contrastive Domain Isolation with Bilinear Fusion for Patient Drug Response Prediction AAAI 2026 Multilingual and Cross-Lingual Citation Needed Detection on Wikipedia for Lower-Resource Languages ACL 2026 Multilingual Self-Taught Faithfulness Evaluators EACL 2026 Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships WACV 2026 Multimodal Digital Phenotyping for Early Prediction of Manic Episodes Through Keystroke Dynamics and Circadian Pattern Analysis AAAI 2026 Multimodal Medical Image Binding via Shared Text Embeddings WACV 2026 Multi-Modal Representation Learning via Semi-Supervised Rate Reduction for Generalized Category Discovery CVPR 2026