← Learning Types
Machine Learning › Learning Types ›

Active Learning

1885 directly classified papers

Papers per year

Papers

Variational Adversarial Active Learning ICCV 2019
Active Change-Point Detection ACML 2019
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction NAACL 2019
Teaching Multiple Concepts to a Forgetful Learner NIPS 2019
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection AAAI 2019
Active Generative Adversarial Network for Image Classification AAAI 2019
Thresholding Bandit with Optimal Aggregate Regret NIPS 2019
Learning Loss for Active Learning CVPR 2019
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints NIPS 2019
Optimal Collusion-Free Teaching ALT 2019
Optimal Decision Tree with Noisy Outcomes NIPS 2019
Bayesian Batch Active Learning as Sparse Subset Approximation NIPS 2019
A Bayesian Approach for Sequence Tagging with Crowds IJCNLP 2019
Leveraging Experience in Lazy Search RSS 2019
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes CVPR 2019
Sample Efficient Active Learning of Causal Trees NIPS 2019
Combinatorial Bandits with Relative Feedback NIPS 2019
Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019
Reliable training and estimation of variance networks NIPS 2019
Mining GOLD Samples for Conditional GANs NIPS 2019
The Label Complexity of Active Learning from Observational Data NIPS 2019
Flattening a Hierarchical Clustering through Active Learning NIPS 2019
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning IJCAI 2019
Active Regression via Linear-Sample Sparsification COLT 2019
Interactive Full Image Segmentation by Considering All Regions Jointly CVPR 2019