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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Policy Learning and Evaluation with Randomized Quasi-Monte Carlo AISTATS 2022 Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model AAAI 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence NeurIPS 2022 Policy Optimization for Stochastic Shortest Path COLT 2022 Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games NeurIPS 2022 Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions AISTATS 2022 PONI: Potential Functions for ObjectGoal Navigation With Interaction-Free Learning CVPR 2022 Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer NAACL 2022 Pose and Joint-Aware Action Recognition WACV 2022 PoseKernelLifter: Metric Lifting of 3D Human Pose Using Sound CVPR 2022 PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision CVPR 2022 Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution IJCAI 2022 Position Prediction as an Effective Pretraining Strategy ICML 2022 Position Regression for Unsupervised Anomaly Detection MIDL 2022 Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization NeurIPS 2022 Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion IJCAI 2022 Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios COLING 2022 Posterior and Computational Uncertainty in Gaussian Processes NeurIPS 2022 Posterior Matching for Arbitrary Conditioning NeurIPS 2022 POTATO: The Portable Text Annotation Tool EMNLP 2022 PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems L4DC 2022 Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling AAAI 2022 PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding NAACL 2022 PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning IJCAI 2022 Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models NeurIPS 2022