Active Learning

Fuzzy Clustering with Similarity Queries NeurIPS 2021 GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning AAAI 2021 GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation MIDL 2021 Gone Fishing: Neural Active Learning with Fisher Embeddings NeurIPS 2021 Gradient-Based Algorithms for Machine Teaching CVPR 2021 Gradient Descent in RKHS with Importance Labeling AISTATS 2021 GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training ICML 2021 Greedy Approximation Algorithms for Active Sequential Hypothesis Testing NeurIPS 2021 Hierarchical Semantic Segmentation using Psychometric Learning ACML 2021 High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021 Human-in-the-Loop Efficiency Analysis for Binary Classification in Edyson Interspeech 2021 Human-In-The-LoopEntity Linking for Low Resource Domains NAACL 2021 Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech ACL 2021 Improved Algorithms for Agnostic Pool-based Active Classification ICML 2021 Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise COLT 2021 Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries AAAI 2021 Incorporating Unlabeled Data into Distributionally Robust Learning JMLR 2021 Influence Selection for Active Learning ICCV 2021 Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits AISTATS 2021 Interaction Considerations in Learning from Humans IJCAI 2021 Interactive Label Cleaning with Example-based Explanations NeurIPS 2021 Interactive Learning from Activity Description ICML 2021 Interactive Machine Comprehension with Dynamic Knowledge Graphs EMNLP 2021 Investigating label suggestions for opinion mining in German Covid-19 social media ACL 2021 Is Active Learning Always Beneficial? (Student Abstract) AAAI 2021