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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)

Aligning Moments in Time using Video Queries ICCV 2025 Aligning Multimodal Representations through an Information Bottleneck ICML 2025 Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication EMNLP 2025 Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering COLING 2025 Aligning Text/Speech Representations from Multimodal Models with MEG Brain Activity During Listening EMNLP 2025 Aligning to Constraints for Data-Efficient Language Model Customization NAACL 2025 Aligning to What? Limits to RLHF Based Alignment NAACL 2025 Aligning Visual Contrastive learning models via Preference Optimization ICLR 2025 Alignment Drift in CEFR-prompted LLMs for Interactive Spanish Tutoring ACL 2025 Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation Network AAAI 2025 Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question Answering CVPR 2025 Alignment with Fill-In-the-Middle for Enhancing Code Generation EMNLP 2025 Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment AAAI 2025 Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback ACL 2025 AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment EMNLP 2025 A Little Human Data Goes A Long Way ACL 2025 ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval EMNLP 2025 AlleNoise - large-scale text classification benchmark dataset with real-world label noise AISTATS 2025 Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective AAAI 2025 Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation ACL 2025 Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning ACL 2025 Alleviating Hallucinations of Large Language Models through Induced Hallucinations NAACL 2025 Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution AAAI 2025 Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025 Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation ICCV 2025