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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)

Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising NeurIPS 2020 Noise-Aware Fully Webly Supervised Object Detection CVPR 2020 Noise-Contrastive Estimation for Multivariate Point Processes NeurIPS 2020 Noise Isn’t Always Negative: Countering Exposure Bias in Sequence-to-Sequence Inflection Models COLING 2020 Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing CVPR 2020 Noise Robust Generative Adversarial Networks CVPR 2020 Noise Tokens: Learning Neural Noise Templates for Environment-Aware Speech Enhancement Interspeech 2020 Noise-tolerant, Reliable Active Classification with Comparison Queries COLT 2020 Noisier2Noise: Learning to Denoise From Unpaired Noisy Data CVPR 2020 Noisy Text Data: Achilles’ Heel of BERT EMNLP 2020 Non-Adversarial Video Synthesis With Learned Priors CVPR 2020 Non-Autoregressive Grammatical Error Correction Toward a Writing Support System AACL 2020 Non-convex Learning via Replica Exchange Stochastic Gradient MCMC ICML 2020 Non-exchangeable feature allocation models with sublinear growth of the feature sizes AISTATS 2020 Nonlinear ISA with Auxiliary Variables for Learning Speech Representations Interspeech 2020 Non-Parallel Emotion Conversion Using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator Interspeech 2020 Non-Parallel Many-to-Many Voice Conversion with PSR-StarGAN Interspeech 2020 Nonparallel Training of Exemplar-Based Voice Conversion System Using INCA-Based Alignment Technique Interspeech 2020 Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks Interspeech 2020 Non-Parametric Calibration for Classification AISTATS 2020 Nonparametric Motion Retargeting for Humanoid Robots on Shared Latent Space RSS 2020 Nonparametric Object and Parts Modeling With Lie Group Dynamics CVPR 2020 Nonparametric Sequential Prediction While Deep Learning the Kernel AISTATS 2020 Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation WACV 2020 Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without COLT 2020