Active Learning

SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation CVPR 2018 Selecting Representative Examples for Program Synthesis ICML 2018 Semi-supervised and Active-learning Scenarios: Efficient Acoustic Model Refinement for a Low Resource Indian Language Interspeech 2018 Sprucing up the trees – Error detection in treebanks COLING 2018 Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings IJCAI 2018 Teacher Improves Learning by Selecting a Training Subset AISTATS 2018 The Externalities of Exploration and How Data Diversity Helps Exploitation COLT 2018 The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation COLING 2018 The Power of Ensembles for Active Learning in Image Classification CVPR 2018 Towards Black-box Iterative Machine Teaching ICML 2018 Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection CVPR 2018 Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision IJCAI 2018 Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss NeurIPS 2018 Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners NeurIPS 2018 Using active learning to expand training data for implicit discourse relation recognition EMNLP 2018 Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation IJCAI 2018 Visual Supervision in Bootstrapped Information Extraction EMNLP 2018 Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NeurIPS 2017 Active Exploration for Learning Symbolic Representations NeurIPS 2017 Active Heteroscedastic Regression ICML 2017 Active Incremental Learning of Robot Movement Primitives CoRL 2017 Active Learning for Accurate Estimation of Linear Models ICML 2017 Active Learning for Black-Box Semantic Role Labeling with Neural Factors IJCAI 2017 Active Learning for Cost-Sensitive Classification ICML 2017 Active Learning for Top-K Rank Aggregation from Noisy Comparisons ICML 2017