Active Learning

Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019 Learning to Ask for Conversational Machine Learning EMNLP 2019 Learning to Caption Images Through a Lifetime by Asking Questions ICCV 2019 Leveraging Experience in Lazy Search RSS 2019 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019 Machine Teaching of Active Sequential Learners NeurIPS 2019 Marginal Posterior Sampling for Slate Bandits IJCAI 2019 MaxGap Bandit: Adaptive Algorithms for Approximate Ranking NeurIPS 2019 MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation EMNLP 2019 Mindful Active Learning IJCAI 2019 Mining GOLD Samples for Conditional GANs NeurIPS 2019 Model-Based Active Exploration ICML 2019 MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons AAAI 2019 Multilingual Speech Recognition with Corpus Relatedness Sampling Interspeech 2019 Multi-View Active Learning for Video Recommendation IJCAI 2019 Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments ICML 2019 Non-Asymptotic Pure Exploration by Solving Games NeurIPS 2019 Nonverbal Robot Feedback for Human Teachers CoRL 2019 O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks ICCV 2019 Online learning with feedback graphs and switching costs AISTATS 2019 On the Limits of Learning to Actively Learn Semantic Representations CoNLL 2019 Optimal Collusion-Free Teaching ALT 2019 Optimal Decision Tree with Noisy Outcomes NeurIPS 2019 Optimal Exploitation of Clustering and History Information in Multi-armed Bandit IJCAI 2019 Optimal Sampling and Clustering in the Stochastic Block Model NeurIPS 2019