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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)

CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking NAACL 2025 Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge ACL 2025 Correcting the Tamazight Portions of FLORES+ and OLDI Seed Datasets EMNLP 2025 Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models NAACL 2025 Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking ICLR 2025 Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data AAAI 2025 Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025 Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning CVPR 2025 Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild ICCV 2025 Corruption Robust Offline Reinforcement Learning with Human Feedback AISTATS 2025 Corruption-Robust Variance-aware Algorithms for Generalized Linear Bandits under Heavy-tailed Rewards UAI 2025 CoSDA: Enhancing the Robustness of Inversion-based Generative Image Watermarking Framework AAAI 2025 COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework UAI 2025 COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation CVPR 2025 CoSMIC: Continual Self-supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization ICCV 2025 COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training CVPR 2025 Cost-Aware Optimal Pairwise Pure Exploration AISTATS 2025 CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering ICML 2025 Costs and Benefits of AI-Enabled Topic Modeling in P-20 Research: The Case of School Improvement Plans ACL 2025 CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations ACL 2025 CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image Retrieval ICCV 2025 CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought ACL 2025 CoU-CU-DSG at BLP-2025 Task 1: Leveraging Weighted Probabilistic Fusion of Language Models for Bangla Hate Speech Detection AACL 2025 Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models ACL 2025 Counterfactual Identification Under Monotonicity Constraints AAAI 2025