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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)

Recognition of Latin American Spanish Using Multi-Task Learning Interspeech 2019 Recognizing Part Attributes With Insufficient Data ICCV 2019 Recognizing Unseen Attribute-Object Pair with Generative Model AAAI 2019 Reconciling meta-learning and continual learning with online mixtures of tasks NeurIPS 2019 Reconciling λ-Returns with Experience Replay NeurIPS 2019 Reconstructing Capsule Networks for Zero-shot Intent Classification EMNLP 2019 Reconstructing Trees from Traces COLT 2019 Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification ICCV 2019 Recovering Bandits NeurIPS 2019 Recurrent Attention Model for Pedestrian Attribute Recognition AAAI 2019 Recursive Cascaded Networks for Unsupervised Medical Image Registration ICCV 2019 Recursive Visual Attention in Visual Dialog CVPR 2019 Reducing Exploration of Dying Arms in Mortal Bandits UAI 2019 Reducing Noise in GAN Training with Variance Reduced Extragradient NeurIPS 2019 Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition CVPR 2019 Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach ACL 2019 Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses AAAI 2019 Reevaluating Argument Component Extraction in Low Resource Settings EMNLP 2019 Re-examination of the Role of Latent Variables in Sequence Modeling NeurIPS 2019 Referring Expression Generation Using Entity Profiles EMNLP 2019 Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation CVPR 2019 Refining Abstraction Heuristics during Real-Time Planning AAAI 2019 Region-Based Active Learning AISTATS 2019 Region-Based Message Exploration over Spatio-Temporal Data Streams AAAI 2019 Regret Bounds for Learning State Representations in Reinforcement Learning NeurIPS 2019