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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)

Learning Speaker Representations with Mutual Information Interspeech 2019 Learning Temporal Action Proposals With Fewer Labels ICCV 2019 Learning Temporal Pose Estimation from Sparsely-Labeled Videos NeurIPS 2019 Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning EMNLP 2019 Learning to Adapt for Stereo CVPR 2019 Learning to Adaptively Scale Recurrent Neural Networks AAAI 2019 Learning to Address Health Inequality in the United States with a Bayesian Decision Network AAAI 2019 Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA ACML 2019 Learning to Ask for Conversational Machine Learning EMNLP 2019 Learning to Augment with Feature Side-information ACML 2019 Learning to Bootstrap for Entity Set Expansion EMNLP 2019 Learning to Caption Images Through a Lifetime by Asking Questions ICCV 2019 Learning to Communicate and Solve Visual Blocks-World Tasks AAAI 2019 Learning to Compose Dynamic Tree Structures for Visual Contexts CVPR 2019 Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning AAAI 2019 Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder NeurIPS 2019 Learning to Convolve: A Generalized Weight-Tying Approach ICML 2019 Learning to Correlate in Multi-Player General-Sum Sequential Games NeurIPS 2019 Learning to Denoise Distantly-Labeled Data for Entity Typing NAACL 2019 Learning to Discover Novel Visual Categories via Deep Transfer Clustering ICCV 2019 Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification EMNLP 2019 Learning to Embed Sentences Using Attentive Recursive Trees AAAI 2019 Learning to Explain: Answering Why-Questions via Rephrasing ACL 2019 Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora EMNLP 2019 Learning to Generalize from Sparse and Underspecified Rewards ICML 2019