Active Learning

Deep Active Learning: Unified and Principled Method for Query and Training AISTATS 2020 Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds ICLR 2020 Deep Reinforcement Learning for Active Human Pose Estimation AAAI 2020 Diameter-based Interactive Structure Discovery AISTATS 2020 Discriminative and Robust Online Learning for Siamese Visual Tracking AAAI 2020 Dynamic Data Selection for Curriculum Learning via Ability Estimation EMNLP 2020 Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports EMNLP 2020 Efficient active learning of sparse halfspaces with arbitrary bounded noise NeurIPS 2020 Efficient Pairwise Annotation of Argument Quality ACL 2020 Empowering Active Learning to Jointly Optimize System and User Demands ACL 2020 Enhanced Labelling in Active Learning for Coreference Resolution COLING 2020 Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection ACL 2020 Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks ACML 2020 Exact Recovery of Mangled Clusters with Same-Cluster Queries NeurIPS 2020 Exemplar Guided Active Learning NeurIPS 2020 Fiduciary Bandits ICML 2020 Finding the Homology of Decision Boundaries with Active Learning NeurIPS 2020 Fine-Grained Machine Teaching with Attention Modeling AAAI 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 From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains ACL 2020 Frugal Paradigm Completion ACL 2020 Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits UAI 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