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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)

Scalable Person Re-Identification: A Benchmark ICCV 2015 Scalable Semi-Supervised Aggregation of Classifiers NeurIPS 2015 Second-order Quantile Methods for Experts and Combinatorial Games COLT 2015 Secure Multi-party Differential Privacy NeurIPS 2015 Self Scaled Regularized Robust Regression CVPR 2015 Semantic Component Analysis ICCV 2015 Semantic Object Segmentation via Detection in Weakly Labeled Video CVPR 2015 Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding NeurIPS 2015 Semi-Supervised Domain Adaptation With Subspace Learning for Visual Recognition CVPR 2015 Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data NeurIPS 2015 Semi-Supervised Interpolation in an Anticausal Learning Scenario JMLR 2015 Semi-Supervised Learning With Explicit Relationship Regularization CVPR 2015 Semi-supervised Learning with Ladder Networks NeurIPS 2015 Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification CVPR 2015 Semi-Supervised Normalized Cuts for Image Segmentation ICCV 2015 Semi-supervised Sequence Learning NeurIPS 2015 Semi-Supervised Zero-Shot Classification With Label Representation Learning ICCV 2015 Sequential Information Maximization: When is Greedy Near-optimal? COLT 2015 Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models ACML 2015 Simple regret for infinitely many armed bandits ICML 2015 Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning ICCV 2015 Simultaneous Deep Transfer Across Domains and Tasks ICCV 2015 Simultaneous Local Binary Feature Learning and Encoding for Face Recognition ICCV 2015 Smooth Interactive Submodular Set Cover NeurIPS 2015 Softstar: Heuristic-Guided Probabilistic Inference NeurIPS 2015