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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)

On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits UAI 2019 On Implicit Filter Level Sparsity in Convolutional Neural Networks CVPR 2019 On-Line Adaptative Curriculum Learning for GANs AAAI 2019 Online Algorithm for Unsupervised Sensor Selection AISTATS 2019 Online Algorithms for Rent-Or-Buy with Expert Advice ICML 2019 Online Continual Learning with Maximal Interfered Retrieval NeurIPS 2019 Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback NeurIPS 2019 Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games AAAI 2019 Online EXP3 Learning in Adversarial Bandits with Delayed Feedback NeurIPS 2019 Online Forecasting of Total-Variation-bounded Sequences NeurIPS 2019 Online High Rank Matrix Completion CVPR 2019 Online Learning from Capricious Data Streams: A Generative Approach IJCAI 2019 Online Learning from Data Streams with Varying Feature Spaces AAAI 2019 Online Learning via the Differential Privacy Lens NeurIPS 2019 Online learning with feedback graphs and switching costs AISTATS 2019 Online Multiclass Boosting with Bandit Feedback AISTATS 2019 Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis NeurIPS 2019 Online Pandora’s Boxes and Bandits AAAI 2019 Online Prediction of Switching Graph Labelings with Cluster Specialists NeurIPS 2019 Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function NeurIPS 2019 Online Unsupervised Learning of the 3D Kinematic Structure of Arbitrary Rigid Bodies ICCV 2019 Online-Within-Online Meta-Learning NeurIPS 2019 On Making Reading Comprehension More Comprehensive EMNLP 2019 On Measuring Gender Bias in Translation of Gender-neutral Pronouns ACL 2019 On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NeurIPS 2019