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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)

Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost IJCAI 2020 Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization EMNLP 2020 Learning Polynomials in Few Relevant Dimensions COLT 2020 Learning Predictive Representations for Deformable Objects Using Contrastive Estimation CoRL 2020 Learning Pronoun Case from Distributional Cues: Flexible Frames for Case Acquisition EMNLP 2020 Learning Query Inseparable εℒℋ Ontologies AAAI 2020 Learning Representations by Predicting Bags of Visual Words CVPR 2020 Learning Representations from Audio-Visual Spatial Alignment NeurIPS 2020 Learning Representations that Support Extrapolation ICML 2020 Learning Retrospective Knowledge with Reverse Reinforcement Learning NeurIPS 2020 Learning Rich Rankings NeurIPS 2020 Learning rich touch representations through cross-modal self-supervision CoRL 2020 Learning Robot Skills with Temporal Variational Inference ICML 2020 Learning Robust and Multilingual Speech Representations EMNLP 2020 Learning Robust Decision Policies from Observational Data NeurIPS 2020 Learning Robust Models for e-Commerce Product Search ACL 2020 Learning Robust Representations via Multi-View Information Bottleneck ICLR 2020 Learning Saliency-Free Model with Generic Features for Weakly-Supervised Semantic Segmentation AAAI 2020 Learning Saliency Propagation for Semi-Supervised Instance Segmentation CVPR 2020 Learning Selection Strategies in Buchberger’s Algorithm ICML 2020 Learning Selective Self-Mutual Attention for RGB-D Saliency Detection CVPR 2020 Learning Sense Representation from Word Representation for Unsupervised Word Sense Disambiguation (Student Abstract) AAAI 2020 Learning Situational Driving CVPR 2020 Learning Some Popular Gaussian Graphical Models without Condition Number Bounds NeurIPS 2020 Learning sparse codes from compressed representations with biologically plausible local wiring constraints NeurIPS 2020