active learning

Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient AACL 2020 Deep Active Learning: Unified and Principled Method for Query and Training AISTATS 2020 Deep Reinforcement Learning for Active Human Pose Estimation AAAI 2020 Detecting Extrapolation with Local Ensembles ICLR 2020 Efficient active learning of sparse halfspaces with arbitrary bounded noise NeurIPS 2020 Empowering Active Learning to Jointly Optimize System and User Demands ACL 2020 Enhanced Labelling in Active Learning for Coreference Resolution COLING 2020 Estimating decision tree learnability with polylogarithmic sample complexity NeurIPS 2020 Exemplar Guided Active Learning NeurIPS 2020 Finding the Homology of Decision Boundaries with Active Learning NeurIPS 2020 Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning COLING 2020 Fourier Sparse Leverage Scores and Approximate Kernel Learning NeurIPS 2020 Frugal Paradigm Completion ACL 2020 Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning CVPR 2020 GPIRT: A Gaussian Process Model for Item Response Theory UAI 2020 Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights NeurIPS 2020 High-contrast “gaudy” images improve the training of deep neural network models of visual cortex NeurIPS 2020 HUMAN: Hierarchical Universal Modular ANnotator EMNLP 2020 Human-Machine Collaboration for Fast Land Cover Mapping AAAI 2020 Interactive Classification by Asking Informative Questions ACL 2020 Interactive Learning with Proactive Cognition Enhancement for Crowd Workers AAAI 2020 Interactive Refinement of Cross-Lingual Word Embeddings EMNLP 2020 Learning a Cost-Effective Annotation Policy for Question Answering EMNLP 2020 Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020 Learning Structured Representations of Entity Names using Active Learning and Weak Supervision EMNLP 2020