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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Selective Inference for Sparse High-Order Interaction Models ICML 2017 Self-Critical Sequence Training for Image Captioning CVPR 2017 Self-Crowdsourcing Training for Relation Extraction ACL 2017 Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model CVPR 2017 Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding IJCAI 2017 Self-paced Convolutional Neural Networks IJCAI 2017 Self-Paced Co-training ICML 2017 Self-paced Mixture of Regressions IJCAI 2017 Self-Paced Multitask Learning with Shared Knowledge IJCAI 2017 Self-Supervised Intrinsic Image Decomposition NeurIPS 2017 Self-Supervised Learning of Visual Features Through Embedding Images Into Text Topic Spaces CVPR 2017 Self-Supervised Video Representation Learning With Odd-One-Out Networks CVPR 2017 Self-weighted Multiview Clustering with Multiple Graphs IJCAI 2017 Semantically Consistent Regularization for Zero-Shot Recognition CVPR 2017 Semantic Autoencoder for Zero-Shot Learning CVPR 2017 Semantic Document Distance Measures and Unsupervised Document Revision Detection IJCNLP 2017 Semantic Role Labeling EMNLP 2017 SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours SemEval 2017 Semi-Supervised Adaptation of RNNLMs by Fine-Tuning with Domain-Specific Auxiliary Features Interspeech 2017 Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data ICML 2017 Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding NeurIPS 2017 Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources ACML 2017 Semi-Supervised Deep Hashing with a Bipartite Graph IJCAI 2017 Semi-Supervised Deep Learning for Monocular Depth Map Prediction CVPR 2017 Semi-Supervised DNN Training with Word Selection for ASR Interspeech 2017