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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)

Does a code-switching dialogue system help users learn conversational fluency in Choctaw? NAACL 2025 Does Biomedical Training Lead to Better Medical Performance? ACL 2025 Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings ACL 2025 Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions NAACL 2025 Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025 Does Knowing More Make You Easier to Trick? Adversarial Robustness of Multi-Target Regression AAAI 2025 Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models NAACL 2025 Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models EMNLP 2025 Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? ICML 2025 Does Machine Translation Impact Offensive Language Identification? The Case of Indo-Aryan Languages COLING 2025 Does Refusal Training in LLMs Generalize to the Past Tense? ICLR 2025 Does Synthetic Data Help Named Entity Recognition for Low-Resource Languages? IJCNLP 2025 Does Training on Synthetic Data Make Models Less Robust? NAACL 2025 Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma? ICCV 2025 DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes AAAI 2025 DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval AAAI 2025 Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization CVPR 2025 Do Influence Functions Work on Large Language Models? EMNLP 2025 Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels ICCV 2025 Do Language Models Understand the Cognitive Tasks Given to Them? Investigations with the N-Back Paradigm ACL 2025 Do Large Language Models Align with Core Mental Health Counseling Competencies? NAACL 2025 Do Large Language Models excel in Complex Logical Reasoning with Formal Language? EMNLP 2025 Do Large Language Models have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMs ACL 2025 Do Large Language Models Know When Not to Answer in Medical QA? EMNLP 2025 Do Large Language Models Learn Human-Like Strategic Preferences? ACL 2025