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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)

QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models EACL 2026 QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis SemEval 2026 Quality-Aware Adversarial Ensemble for Singer Identification in 1960s Tamil Film Music EACL 2026 Quality-aware and Soft Consistency Driven Representation Fusion for Incomplete Multi-view Multi-label Classification AAAI 2026 QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion AAAI 2026 Quantifying and Understanding Uncertainty in Large Reasoning Models ACL 2026 Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation AAAI 2026 Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning CVPR 2026 Query-Efficient Domain Knowledge Stealing Against Large Language Models AAAI 2026 QueryGym: Step-by-Step Interaction with Relational Databases AAAI 2026 QuMAB: Query-based Multi-annotator Behavior Pattern Learning AAAI 2026 RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection AAAI 2026 RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering Under Multi-Source Noise AAAI 2026 RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability AAAI 2026 Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast AAAI 2026 RadarMP: Motion Perception for 4D mmWave Radar in Autonomous Driving AAAI 2026 RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment CVPR 2026 Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability AAAI 2026 Rank-based Geographical Regularization: Revisiting Contrastive Self-Supervised Learning for Multispectral Remote Sensing Imagery WACV 2026 Ranking Items from Discrete Ratings: The Cost of Unknown User Thresholds ALT 2026 RATE: Reviewer Profiling and Annotation-free Training for Expertise Ranking in Peer Review Systems ACL 2026 R-AVST: Empowering Video-LLMs with Fine-Grained Spatio-Temporal Reasoning in Complex Audio-Visual Scenarios AAAI 2026 RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection AAAI 2026 REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees UAI 2026 Reality vs Counterfactual: Multi-World Contrastive Reinforcement Learning for Enhancing MLLM’s Theory of Mind in Egocentric Videos AAAI 2026