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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)

Don’t stop pretraining! Efficiently building specialised language models in resource-constrained settings. NAACL 2025 Don’t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation EMNLP 2025 Don’t Take it Literally! Idiom-aware Vietnamese Translation via In-context Learning IJCNLP 2025 Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models ICLR 2025 Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection ICCV 2025 DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback ICLR 2025 Doppelgangers and Adversarial Vulnerability CVPR 2025 DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles CVPR 2025 Do RAG Systems Really Suffer From Positional Bias? EMNLP 2025 DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution CVPR 2025 Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments AISTATS 2025 Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search AAAI 2025 Doubly Optimal Policy Evaluation for Reinforcement Learning ICLR 2025 Doubly robust identification of treatment effects from multiple environments ICLR 2025 Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees UAI 2025 Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation ACL 2025 Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction ACL 2025 Down the Cascades of Omethi: Hierarchical Automatic Scoring in Large-Scale Assessments ACL 2025 Do Your Best and Get Enough Rest for Continual Learning CVPR 2025 DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models CVPR 2025 DPCL-Diff:Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning AAAI 2025 DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors AAAI 2025 DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models AAAI 2025 DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection CVPR 2025 DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics ACL 2025