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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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Papers (including subtopics)

SinGAN: Learning a Generative Model From a Single Natural Image ICCV 2019 Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective AAAI 2019 Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks IJCAI 2019 Single Image Depth Estimation Trained via Depth From Defocus Cues CVPR 2019 SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images CVPR 2019 SJTU at MRP 2019: A Transition-Based Multi-Task Parser for Cross-Framework Meaning Representation Parsing CoNLL 2019 SJTU-NICT at MRP 2019: Multi-Task Learning for End-to-End Uniform Semantic Graph Parsing CoNLL 2019 Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory NAACL 2019 SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network CVPR 2019 Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices NeurIPS 2019 Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation CVPR 2019 Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues CVPR 2019 Small-Footprint Magic Word Detection Method Using Convolutional LSTM Neural Network Interspeech 2019 SMART: An Open Source Data Labeling Platform for Supervised Learning JMLR 2019 Smooth neighborhood recommender systems JMLR 2019 SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning AAAI 2019 SNU IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification SemEval 2019 Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks NeurIPS 2019 Social IQa: Commonsense Reasoning about Social Interactions EMNLP 2019 Social Media-based User Embedding: A Literature Review IJCAI 2019 Social Reinforcement Learning to Combat Fake News Spread UAI 2019 Soft Facial Landmark Detection by Label Distribution Learning AAAI 2019 SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence EMNLP 2019 Soft Representation Learning for Sparse Transfer ACL 2019 Software Component Prediction for Bug Reports ACML 2019