Active Learning

Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank UAI 2019 Classification with Costly Features Using Deep Reinforcement Learning AAAI 2019 Combinatorial Bandits with Relative Feedback NeurIPS 2019 Comparative judgments are more consistent than binary classification for labelling word complexity ACL 2019 Computer Assisted Annotation of Tension Development in TED Talks through Crowdsourcing EMNLP 2019 Conditioning by adaptive sampling for robust design ICML 2019 Confidence Weighted Multitask Learning AAAI 2019 Correlation Clustering with Adaptive Similarity Queries NeurIPS 2019 Cost Effective Active Search NeurIPS 2019 Data-efficient Neural Text Compression with Interactive Learning NAACL 2019 Deep Active Learning for Anchor User Prediction IJCAI 2019 Deep Active Learning with Adaptive Acquisition IJCAI 2019 Deep Active Learning with a Neural Architecture Search NeurIPS 2019 Deep Embedding Learning With Discriminative Sampling Policy CVPR 2019 Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning IJCAI 2019 Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification ICCV 2019 Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design NeurIPS 2019 Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing EMNLP 2019 Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem ICML 2019 EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019 Efficient Diversified Mini-Batch Selection using Variable High-layer Features ACML 2019 Empirical Evaluation of Active Learning Techniques for Neural MT EMNLP 2019 Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms AAAI 2019 Exploring k out of Top ρ Fraction of Arms in Stochastic Bandits AISTATS 2019 Fast Object Class Labelling via Speech CVPR 2019