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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)

Do large language models solve verbal analogies like children do? CoNLL 2025 Do LLM Agents Have Regret? A Case Study in Online Learning and Games ICLR 2025 Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving CoRL 2025 Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions EMNLP 2025 Do LLMs Behave as Claimed? Investigating How LLMs Follow Their Own Claims using Counterfactual Questions EMNLP 2025 Do LLMs Give Psychometrically Plausible Responses in Educational Assessments? ACL 2025 Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics NAACL 2025 Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction IJCNLP 2025 Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting ACL 2025 Domain Adaptation with Hybrid Modeling for Learning Dynamical Systems ACML 2025 Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepali COLING 2025 DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation AAAI 2025 Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization WACV 2025 Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025 Domain Pre-training Impact on Representations EMNLP 2025 Domain Randomization is Sample Efficient for Linear Quadratic Control L4DC 2025 Domain Regeneration: How well do LLMs match syntactic properties of text domains? ACL 2025 DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization AAAI 2025 Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models IJCAI 2025 DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms EMNLP 2025 Do not Abstain! Identify and Solve the Uncertainty ACL 2025 Don’t Forget the Base Retriever! A Low-Resource Graph-based Retriever for Multi-hop Question Answering EMNLP 2025 Don’t Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls ACL 2025 Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning ACL 2025 Don’t Score too Early! Evaluating Argument Mining Models on Incomplete Essays ACL 2025