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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)

From Curiosity to Clarity : Exploring the Impact of Consecutive Why-Questions NAACL 2025 From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts ACL 2025 From Disagreement to Understanding: The Case for Ambiguity Detection in NLI EMNLP 2025 From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision ICCV 2025 From End-to-end to Step-by-step: Learning to Abstract via Abductive Reinforcement Learning IJCAI 2025 From English-Centric to Effective Bilingual: LLMs with Custom Tokenizers for Underrepresented Languages ACL 2025 From English to Second Language Mastery: Enhancing LLMs with Cross-Lingual Continued Instruction Tuning ACL 2025 From Enhancement to Understanding: Build a Generalized Bridge for Low-light Vision via Semantically Consistent Unsupervised Fine-tuning ICCV 2025 From Evidence Mining to Meta-Prediction: a Gradient of Methodologies for Task-Specific Challenges in Psychological Assessment NAACL 2025 From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes EMNLP 2025 FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025 From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination IJCAI 2025 From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models EMNLP 2025 From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation EMNLP 2025 From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning CVPR 2025 From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration CVPR 2025 From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-Tuning ICCV 2025 From Imitation to Introspection: Probing Self-Consciousness in Language Models ACL 2025 From Implicit Exploration to Structured Reasoning: Guideline and Refinement for LLMs EMNLP 2025 From In-Distribution to Out-of-Distribution: Joint Loss for Improving Generalization in Software Mention and Relation Extraction ACL 2025 From Information to Insight: Leveraging LLMs for Open Aspect-Based Educational Summarization ACL 2025 From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors EMNLP 2025 From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation EMNLP 2025 From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning NAACL 2025 From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks ICLR 2025