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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)

The UNLP 2025 Shared Task on Detecting Social Media Manipulation ACL 2025 The Unreasonable Effectiveness of Open Science in AI: A Replication Study AAAI 2025 Things Machine Learning Models Know That They Don’t Know AAAI 2025 Think and Recall: Layer-Level Prompting for Lifelong Model Editing EMNLP 2025 Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling ACL 2025 Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement ACL 2025 Thinking Out Loud: Do Reasoning Models Know When They’re Right? EMNLP 2025 Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations AAAI 2025 Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series EMNLP 2025 Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate Speech. ACL 2025 ThinkQE: Query Expansion via an Evolving Thinking Process EMNLP 2025 ThinkSLM: Towards Reasoning in Small Language Models EMNLP 2025 Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation CVPR 2025 ThinkTuning: Instilling Cognitive Reflections without Distillation EMNLP 2025 Think Twice Before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation IJCAI 2025 Think Twice: Test-Time Reasoning for Robust CLIP Zero-Shot Classification ICCV 2025 Think Wider, Detect Sharper: Reinforced Reference Coverage for Document-Level Self-Contradiction Detection EMNLP 2025 t-HNE: A Text-guided Hierarchical Noise Eliminator for Multimodal Sentiment Analysis COLING 2025 Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs) NAACL 2025 Thought calibration: Efficient and confident test-time scaling EMNLP 2025 Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension AAAI 2025 ThoughtSculpt: Reasoning with Intermediate Revision and Search NAACL 2025 Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation EMNLP 2025 THREAD: Thinking Deeper with Recursive Spawning NAACL 2025 Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves AAAI 2025