active learning

Mining GOLD Samples for Conditional GANs NeurIPS 2019 Multiscale Gaussian Process Level Set Estimation AISTATS 2019 Multi-View Active Learning for Video Recommendation IJCAI 2019 Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments ICML 2019 Noise Contrastive Priors for Functional Uncertainty UAI 2019 Non-Asymptotic Pure Exploration by Solving Games NeurIPS 2019 O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks ICCV 2019 On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons NeurIPS 2019 On the Limits of Learning to Actively Learn Semantic Representations CoNLL 2019 Optimal Decision Tree with Noisy Outcomes NeurIPS 2019 Optimal Policies for Observing Time Series and Related Restless Bandit Problems JMLR 2019 Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities NAACL 2019 Practical Obstacles to Deploying Active Learning EMNLP 2019 Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction NAACL 2019 Rapid Performance Gain through Active Model Reuse IJCAI 2019 Region-Based Active Learning AISTATS 2019 Reliable training and estimation of variance networks NeurIPS 2019 Sample Efficient Active Learning of Causal Trees NeurIPS 2019 Sampling Bias in Deep Active Classification: An Empirical Study EMNLP 2019 SANTLR: Speech Annotation Toolkit for Low Resource Languages Interspeech 2019 Self-Regulated Interactive Sequence-to-Sequence Learning ACL 2019 Sequential Experimental Design for Transductive Linear Bandits NeurIPS 2019 SMART: An Open Source Data Labeling Platform for Supervised Learning JMLR 2019 Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019 TableSense: Spreadsheet Table Detection with Convolutional Neural Networks AAAI 2019