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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)

Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning COLT 2020 Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation AISTATS 2020 Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise COLT 2020 Finite-Time Analysis of Round-Robin Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards NeurIPS 2020 FiNLP at FinCausal 2020 Task 1: Mixture of BERTs for Causal Sentence Identification in Financial Texts COLING 2020 Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NeurIPS 2020 f-IRL: Inverse Reinforcement Learning via State Marginal Matching CoRL 2020 Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint L4DC 2020 Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning AAAI 2020 FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence NeurIPS 2020 Flexible distribution-free conditional predictive bands using density estimators AISTATS 2020 Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching CVPR 2020 Flow-based Intrinsic Curiosity Module IJCAI 2020 Flow Contrastive Estimation of Energy-Based Models CVPR 2020 FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation CVPR 2020 FocalMix: Semi-Supervised Learning for 3D Medical Image Detection CVPR 2020 Focus of Attention Improves Information Transfer in Visual Features NeurIPS 2020 Food and Liquid Sensing in Practical Environments using RFIDs NSDI 2020 Foolproof Cooperative Learning ACML 2020 Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task IJCAI 2020 Foreigner-directed speech is simpler than native-directed: Evidence from social media EMNLP 2020 Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes NeurIPS 2020 Forgetting to Learn Logic Programs AAAI 2020 Form2Seq : A Framework for Higher-Order Form Structure Extraction EMNLP 2020 Fortifying Toxic Speech Detectors Against Veiled Toxicity EMNLP 2020