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Active Learning

1885 directly classified papers

Papers per year

Papers

Efficient Diversified Mini-Batch Selection using Variable High-layer Features ACML 2019
PAC Battling Bandits in the Plackett-Luce Model ALT 2019
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition CVPR 2019
Human-in-the-Loop Feature Selection AAAI 2019
Self-Supervised Exploration via Disagreement ICML 2019
Computer Assisted Annotation of Tension Development in TED Talks through Crowdsourcing EMNLP 2019
Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing EMNLP 2019
Iterative Classroom Teaching AAAI 2019
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection AAAI 2019
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019
Bayesian Generative Active Deep Learning ICML 2019
Active Learning for Decision-Making from Imbalanced Observational Data ICML 2019
Learning Optimal Strategies to Commit To AAAI 2019
Conditioning by adaptive sampling for robust design ICML 2019
A Robust Zero-Sum Game Framework for Pool-based Active Learning AISTATS 2019
Teaching a black-box learner ICML 2019
Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments ICML 2019
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits ICML 2019
Fast Object Class Labelling via Speech CVPR 2019
The Relationship Between Agnostic Selective Classification, Active Learning and the Disagreement Coefficient JMLR 2019
Practical Obstacles to Deploying Active Learning EMNLP 2019
Model-Based Active Exploration ICML 2019
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets IJCAI 2019
Mindful Active Learning IJCAI 2019