Active Learning

Learning from discriminative feature feedback NeurIPS 2018 Learning How to Actively Learn: A Deep Imitation Learning Approach ACL 2018 Learning to Actively Learn Neural Machine Translation CoNLL 2018 Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks CVPR 2018 Learning to Multi-Task by Active Sampling ICLR 2018 Mitigating Bias in Adaptive Data Gathering via Differential Privacy ICML 2018 Multi-objective Contextual Bandit Problem with Similarity Information AISTATS 2018 Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus ACL 2018 Near-Optimal Machine Teaching via Explanatory Teaching Sets AISTATS 2018 New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018 Online Boosting Algorithms for Multi-label Ranking AISTATS 2018 Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations IJCAI 2018 On the Efficiency of Data Collection for Crowdsourced Classification IJCAI 2018 On the Relationship between Data Efficiency and Error for Uncertainty Sampling ICML 2018 On Training and Evaluation of Grapheme-to-Phoneme Mappings with Limited Data Interspeech 2018 On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach IJCAI 2018 Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource COLING 2018 Personalized Text Retrieval for Learners of Chinese as a Foreign Language COLING 2018 Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task EMNLP 2018 Query Complexity of Bayesian Private Learning NeurIPS 2018 Reinforced Co-Training NAACL 2018 Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels IJCAI 2018 Risk-Aware Active Inverse Reinforcement Learning CoRL 2018 Robust Active Label Correction AISTATS 2018 Safe Active Learning for Time-Series Modeling with Gaussian Processes NeurIPS 2018