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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 Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort ACL 2021 Online Learning of Action Models for PDDL Planning IJCAI 2021 Online Learning of a Probabilistic and Adaptive Scene Representation CVPR 2021 Online Learning Of Neural Computations From Sparse Temporal Feedback NeurIPS 2021 Online Learning with Optimism and Delay ICML 2021 Online Limited Memory Neural-Linear Bandits with Likelihood Matching ICML 2021 Online Markov Decision Processes with Aggregate Bandit Feedback COLT 2021 Online Meta-Learning via Learning with Layer-Distributed Memory NeurIPS 2021 Online Model Selection for Reinforcement Learning with Function Approximation AISTATS 2021 Online Multi-Armed Bandits with Adaptive Inference NeurIPS 2021 Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence ICML 2021 Online Posted Pricing with Unknown Time-Discounted Valuations AAAI 2021 Online probabilistic label trees AISTATS 2021 Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-Identification ICCV 2021 Online Refinement of Low-Level Feature Based Activation Map for Weakly Supervised Object Localization ICCV 2021 Online Selective Classification with Limited Feedback NeurIPS 2021 Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits NeurIPS 2021 Online Sparse Reinforcement Learning AISTATS 2021 Online Variational Filtering and Parameter Learning NeurIPS 2021 On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization JMLR 2021 Only Time Can Tell: Discovering Temporal Data for Temporal Modeling WACV 2021 On Margin-Based Cluster Recovery with Oracle Queries NeurIPS 2021 On Multi-Armed Bandit Designs for Dose-Finding Trials JMLR 2021 On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems AAAI 2021 On Optimal Robustness to Adversarial Corruption in Online Decision Problems NeurIPS 2021