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

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26

18

20

135

136

147

149

220

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316

526

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477

660

1,314

2,083

3,689

4,652

5,914

6,826

8,201

8,755

9,258

2,019

2000

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Papers (including subtopics)

Matrix Completion for Resolving Label Ambiguity CVPR 2015 Matrix Completion with Noisy Side Information NeurIPS 2015 Maximally Informative Hierarchical Representations of High-Dimensional Data AISTATS 2015 Maximum Margin Partial Label Learning ACML 2015 Max-Margin Deep Generative Models NeurIPS 2015 Max-Margin Majority Voting for Learning from Crowds NeurIPS 2015 Max-Margin Zero-Shot Learning for Multi-class Classification AISTATS 2015 MCMC Learning COLT 2015 Measuring Sample Quality with Stein's Method NeurIPS 2015 Metric Imitation by Manifold Transfer for Efficient Vision Applications CVPR 2015 Mind's Eye: A Recurrent Visual Representation for Image Caption Generation CVPR 2015 Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction NeurIPS 2015 Minimax Analysis of Active Learning JMLR 2015 Minimax Time Series Prediction NeurIPS 2015 Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters ICCV 2015 ML-MG: Multi-Label Learning With Missing Labels Using a Mixed Graph ICCV 2015 Modeling Skill Acquisition Over Time with Sequence and Topic Modeling AISTATS 2015 Model Recommendation: Generating Object Detectors From Few Samples CVPR 2015 Motion Part Regularization: Improving Action Recognition via Trajectory Selection CVPR 2015 Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition ICCV 2015 Multiclass Semantic Video Segmentation With Object-Level Active Inference CVPR 2015 Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015 Multi-instance multi-label learning in the presence of novel class instances ICML 2015 Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection NeurIPS 2015 Multiple Instance Learning for Soft Bags via Top Instances CVPR 2015