conftrace_

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

8

12

26

18

20

135

136

147

149

220

231

316

526

460

477

660

1,314

2,083

3,689

4,652

5,914

6,826

8,201

8,755

9,258

2,019

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Recurrent linear models of simultaneously-recorded neural populations NeurIPS 2013 Regression-tree Tuning in a Streaming Setting NeurIPS 2013 Regret based Robust Solutions for Uncertain Markov Decision Processes NeurIPS 2013 Regret Minimization for Branching Experts COLT 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Reinforcement Learning in Robust Markov Decision Processes NeurIPS 2013 Relative Hidden Markov Models for Evaluating Motion Skill CVPR 2013 Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees COLT 2013 Representing Videos Using Mid-level Discriminative Patches CVPR 2013 Reservoir Boosting : Between Online and Offline Ensemble Learning NeurIPS 2013 Reshaping Visual Datasets for Domain Adaptation NeurIPS 2013 Restricting exchangeable nonparametric distributions NeurIPS 2013 Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees ICCV 2013 Reward Mapping for Transfer in Long-Lived Agents NeurIPS 2013 RNADE: The real-valued neural autoregressive density-estimator NeurIPS 2013 Robust and Discriminative Self-Taught Learning ICML 2013 Robust Bloom Filters for Large MultiLabel Classification Tasks NeurIPS 2013 Robust Data-Driven Dynamic Programming NeurIPS 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NeurIPS 2013 Robust Multi-resolution Pedestrian Detection in Traffic Scenes CVPR 2013 Robust Object Tracking with Online Multi-lifespan Dictionary Learning ICCV 2013 Robust Sparse Regression under Adversarial Corruption ICML 2013 Robust Structural Metric Learning ICML 2013 Robust Transfer Principal Component Analysis with Rank Constraints NeurIPS 2013