active learning

Feedback Coding for Active Learning AISTATS 2021 FITAnnotator: A Flexible and Intelligent Text Annotation System NAACL 2021 Fuzzy Clustering with Similarity Queries NeurIPS 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 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 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 Information Directed Reward Learning for Reinforcement Learning NeurIPS 2021 Interactive Label Cleaning with Example-based Explanations NeurIPS 2021 Investigating label suggestions for opinion mining in German Covid-19 social media ACL 2021 Is Active Learning Always Beneficial? (Student Abstract) AAAI 2021 Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes CoRL 2021 Kernel Interpolation for Scalable Online Gaussian Processes AISTATS 2021 LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation ICCV 2021 LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning NeurIPS 2021 Latent Derivative Bayesian Last Layer Networks AISTATS 2021 Learning Multimodal Rewards from Rankings CoRL 2021