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Active Learning

1885 directly classified papers

Papers per year

Papers

Online Learning in Contextual Bandits using Gated Linear Networks NIPS 2020
Synbols: Probing Learning Algorithms with Synthetic Datasets NIPS 2020
Batch Decorrelation for Active Metric Learning IJCAI 2020
On Deep Unsupervised Active Learning IJCAI 2020
Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020
Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract) IJCAI 2020
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting JMLR 2020
Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020
Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection ACL 2020
Actively Learning Gaussian Process Dynamics L4DC 2020
Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient AACL 2020
Deep Active Learning with a Neural Architecture Search NIPS 2019
Perturbed-History Exploration in Stochastic Linear Bandits UAI 2019
A Learnable Safety Measure CORL 2019
Non-Asymptotic Pure Exploration by Solving Games NIPS 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NIPS 2019
Correlation Clustering with Adaptive Similarity Queries NIPS 2019
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NIPS 2019
Cost Effective Active Search NIPS 2019
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design NIPS 2019
A New Perspective on Pool-Based Active Classification and False-Discovery Control NIPS 2019
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit IJCAI 2019
Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision CVPR 2019
Nonverbal Robot Feedback for Human Teachers CORL 2019
Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities NAACL 2019