Active Learning

Iterative Teacher-Aware Learning NeurIPS 2021 Iterative Teaching by Label Synthesis NeurIPS 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 Learning Rare Category Classifiers on a Tight Labeling Budget ICCV 2021 Learning Reward Functions from Scale Feedback CoRL 2021 Learning with Labeling Induced Abstentions NeurIPS 2021 Locality Sensitive Teaching NeurIPS 2021 Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories ICCV 2021 Matching a Desired Causal State via Shift Interventions NeurIPS 2021 Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning ICML 2021 Meta-Learning Effective Exploration Strategies for Contextual Bandits AAAI 2021 Meta-learning with an Adaptive Task Scheduler NeurIPS 2021 Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering ACL 2021 Minimizing Annotation Effort via Max-Volume Spectral Sampling EMNLP 2021 MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization AAAI 2021 Multi-accent Speech Separation with One Shot Learning ACL 2021 Multi-Anchor Active Domain Adaptation for Semantic Segmentation ICCV 2021 Multinomial Logit Contextual Bandits: Provable Optimality and Practicality AAAI 2021 Multiple Instance Active Learning for Object Detection CVPR 2021 Nearest Neighbor Classifier Embedded Network for Active Learning AAAI 2021 Neural Active Learning with Performance Guarantees NeurIPS 2021 Nonmyopic Multifidelity Acitve Search ICML 2021