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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)

Optimal sampling in unbiased active learning AISTATS 2020 Optimal Strategies Against Generative Attacks ICLR 2020 Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NeurIPS 2020 Optimistic Policy Optimization with Bandit Feedback ICML 2020 Optimization and Analysis of the pAp@k Metric for Recommender Systems ICML 2020 Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks NeurIPS 2020 Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning AISTATS 2020 Optimizing Data Usage via Differentiable Rewards ICML 2020 Optimizing Through Learned Errors for Accurate Sports Field Registration WACV 2020 Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020 OptSLA: an Optimization-Based Approach for Sequential Label Aggregation EMNLP 2020 ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication Interspeech 2020 Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification AAAI 2020 Orderless Recurrent Models for Multi-Label Classification CVPR 2020 Organizing recurrent network dynamics by task-computation to enable continual learning NeurIPS 2020 OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold CVPR 2020 Orthogonal Gradient Descent for Continual Learning AISTATS 2020 Orthogonalized SGD and Nested Architectures for Anytime Neural Networks ICML 2020 Outlier Detection Ensemble with Embedded Feature Selection AAAI 2020 Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control AAAI 2020 Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax CVPR 2020 Overcoming Language Priors with Self-supervised Learning for Visual Question Answering IJCAI 2020 Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization CVPR 2020 Overfitting in adversarially robust deep learning ICML 2020 Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality NeurIPS 2020