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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)

Online Assortment and Price Optimization Under Contextual Choice Models AISTATS 2025 Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment AAAI 2025 Online Generalized Magician’s Problem with Multiple Workers UAI 2025 Online Iterative Self-Alignment for Radiology Report Generation ACL 2025 Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization IJCNLP 2025 Online Learning of Coalition Structures by Selfish Agents AAAI 2025 Online Learning with Stochastically Partitioning Experts UAI 2025 Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation WACV 2025 Online MDP with Prototypes Information: A Robust Adaptive Approach AAAI 2025 Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting AAAI 2025 Online Preference Alignment for Language Models via Count-based Exploration ICLR 2025 Online Reinforcement Learning in Non-Stationary Context-Driven Environments ICLR 2025 Online Resource Sharing: Better Robust Guarantees via Randomized Strategies IJCAI 2025 Online Student-t Processes with an Overall-local Scale Structure for Modelling Non-stationary Data AISTATS 2025 Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution CVPR 2025 On LLM-Based Scientific Inductive Reasoning Beyond Equations EMNLP 2025 On Local Posterior Structure in Deep Ensembles AISTATS 2025 Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models ACL 2025 On Many-Shot In-Context Learning for Long-Context Evaluation ACL 2025 On Memorization of Large Language Models in Logical Reasoning IJCNLP 2025 On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract) AAAI 2025 On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation ACL 2025 On Preference-based Stochastic Linear Contextual Bandits with Knapsacks AISTATS 2025 On Reference (In-)Determinacy in Natural Language Inference NAACL 2025 On Rollouts in Model-Based Reinforcement Learning ICLR 2025