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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)

ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces WACV 2025 Command-A-Translate: Raising the Bar of Machine Translation with Difficulty Filtering EMNLP 2025 Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLM ACL 2025 COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks AAAI 2025 Commitment to Sparse Strategies in Two-Player Games AAAI 2025 Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space CVPR 2025 Common Ground, Diverse Roots: The Difficulty of Classifying Common Examples in Spanish Varieties COLING 2025 Common Learning Constraints Alter Interpretations of Direct Preference Optimization AISTATS 2025 Common Sense Bias Modeling for Classification Tasks AAAI 2025 Community-Centric Graph Unlearning AAAI 2025 Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract) AAAI 2025 Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization ACL 2025 Comparing Behavioral Patterns of LLM and Human Tutors: A Population-level Analysis with the CIMA Dataset ACL 2025 Comparing human and LLM proofreading in L2 writing: Impact on lexical and syntactic features ACL 2025 Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance EMNLP 2025 Comparison-based Active Preference Learning for Multi-dimensional Personalization ACL 2025 ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty ACL 2025 CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward EMNLP 2025 ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors ICLR 2025 Competitive Fair Scheduling with Predictions ICLR 2025 Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising CVPR 2025 Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement ICLR 2025 Completing A Systematic Review in Hours instead of Months with Interactive AI Agents ACL 2025 Component-Level Segmentation for Oracle Bone Inscription Decipherment AAAI 2025 Components of Creativity: Language Model-based Predictors for Clustering and Switching in Verbal Fluency CoNLL 2025