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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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Papers (including subtopics)

Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables AAAI 2019 Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization AAAI 2019 MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis NeurIPS 2019 Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection ICCV 2019 Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling AAAI 2019 MeshAdv: Adversarial Meshes for Visual Recognition CVPR 2019 Meta Architecture Search NeurIPS 2019 MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition CVPR 2019 Metadata-driven Task Relation Discovery for Multi-task Learning IJCAI 2019 Meta-Descent for Online, Continual Prediction AAAI 2019 MetaInit: Initializing learning by learning to initialize NeurIPS 2019 Meta-Interpretive Learning Using HEX-Programs IJCAI 2019 Meta-Learning Improves Lifelong Relation Extraction ACL 2019 Meta-Learning Representations for Continual Learning NeurIPS 2019 Meta-Learning Update Rules for Unsupervised Representation Learning ICLR 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition NeurIPS 2019 Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting NeurIPS 2019 Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CoRL 2019 MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement ICML 2019 Metric Learning for Adversarial Robustness NeurIPS 2019 Metric Learning on Healthcare Data with Incomplete Modalities IJCAI 2019 MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation CVPR 2019 Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling ACL 2019 MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit SemEval 2019