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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)

Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling AAAI 2025 Compositional Caching for Training-free Open-vocabulary Attribute Detection CVPR 2025 Compositional Entailment Learning for Hyperbolic Vision-Language Models ICLR 2025 Compositionality and Event Retrieval in Complement Coercion: A Study of Language Models in a Low-resource Setting CoNLL 2025 Compositional Targeted Multi-Label Universal Perturbations CVPR 2025 Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages EMNLP 2025 Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025 Computational Blueprints: Generating Isomorphic Mathematics Problems with Large Language Models EMNLP 2025 Computing Game Symmetries and Equilibria That Respect Them AAAI 2025 CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution ICLR 2025 Concentration of Cumulative Reward in Markov Decision Processes JMLR 2025 Concept-Based RAG Models: A High-Accuracy Fact Retrieval Approach COLING 2025 Concept-Based Unsupervised Domain Adaptation ICML 2025 Concept Forgetting via Label Annealing UAI 2025 ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation CVPR 2025 Concept Matching with Agent for Out-of-Distribution Detection AAAI 2025 Concept-pedia: a Wide-coverage Semantically-annotated Multimodal Dataset EMNLP 2025 Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction NAACL 2025 Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing ICLR 2025 ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) AAAI 2025 ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract) AAAI 2025 Conceptual Diagnostics for Knowledge Graphs and Large Language Models ACL 2025 ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models EMNLP 2025 ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalizatio WACV 2025 Conditional Average Treatment Effect Estimation Under Hidden Confounders UAI 2025