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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 Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024 Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously NeurIPS 2024 Online Estimation via Offline Estimation: An Information-Theoretic Framework NeurIPS 2024 Online Feature Updates Improve Online (Generalized) Label Shift Adaptation NeurIPS 2024 Online Information Acquisition: Hiring Multiple Agents ICLR 2024 Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NeurIPS 2024 Online learning in bandits with predicted context AISTATS 2024 Online Learning in Contextual Second-Price Pay-Per-Click Auctions AISTATS 2024 Online Learning of Capacity-Based Preference Models IJCAI 2024 Online Learning of Decision Trees with Thompson Sampling AISTATS 2024 Online Learning of Delayed Choices NeurIPS 2024 Online Learning with Set-valued Feedback COLT 2024 Online Learning with Sublinear Best-Action Queries NeurIPS 2024 Online Markov Decision Processes Configuration with Continuous Decision Space AAAI 2024 Online Newton Method for Bandit Convex Optimisation Extended Abstract COLT 2024 Online Non-convex Learning in Dynamic Environments NeurIPS 2024 Online Policy Optimization for Robust Markov Decision Process UAI 2024 Online Policy Optimization in Unknown Nonlinear Systems COLT 2024 Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments AAAI 2024 Online Relational Inference for Evolving Multi-agent Interacting Systems NeurIPS 2024 Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints AAAI 2024 Online Stackelberg Optimization via Nonlinear Control COLT 2024 Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss COLT 2024 Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory CVPR 2024 Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling ICLR 2024