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)

Adapting Classification Cascades to New Domains ICCV 2013 Adaptive Active Learning for Image Classification CVPR 2013 Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem COLT 2013 Adaptive dropout for training deep neural networks NeurIPS 2013 Adaptive Market Making via Online Learning NeurIPS 2013 Adaptive Step-Size for Policy Gradient Methods NeurIPS 2013 Adaptive Submodular Maximization in Bandit Setting NeurIPS 2013 Adaptive Task Assignment for Crowdsourced Classification ICML 2013 Adding Unlabeled Samples to Categories by Learned Attributes CVPR 2013 A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NeurIPS 2013 A Gang of Bandits NeurIPS 2013 Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NeurIPS 2013 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 A Last-Step Regression Algorithm for Non-Stationary Online Learning AISTATS 2013 A Latent Source Model for Nonparametric Time Series Classification NeurIPS 2013 A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration CVPR 2013 Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training ICML 2013 Algorithms and Hardness for Robust Subspace Recovery COLT 2013 Almost Optimal Exploration in Multi-Armed Bandits ICML 2013 A multi-agent control framework for co-adaptation in brain-computer interfaces NeurIPS 2013 Analysis of Scores, Datasets, and Models in Visual Saliency Prediction ICCV 2013 Analyzing the Harmonic Structure in Graph-Based Learning NeurIPS 2013 A near-optimal algorithm for finite partial-monitoring games against adversarial opponents COLT 2013 A Novel Two-Step Method for Cross Language Representation Learning NeurIPS 2013 Approachability, fast and slow COLT 2013