active learning

Optimal Clustering with Noisy Queries via Multi-Armed Bandit ICML 2022 Optimizing Data Collection for Machine Learning NeurIPS 2022 PAC Top-k Identification under SST in Limited Rounds AISTATS 2022 PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions AAAI 2022 Parallel MCMC Without Embarrassing Failures AISTATS 2022 Phase transitions in when feedback is useful NeurIPS 2022 POTATO: The Portable Text Annotation Tool EMNLP 2022 Predicting Difficulty and Discrimination of Natural Language Questions ACL 2022 Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning NeurIPS 2022 RareGAN: Generating Samples for Rare Classes AAAI 2022 Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers ACL 2022 Robustly-reliable learners under poisoning attacks COLT 2022 Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022 Sample Efficient Learning of Predictors that Complement Humans ICML 2022 Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times ICML 2022 Semi-supervised Active Linear Regression NeurIPS 2022 Similarity Search for Efficient Active Learning and Search of Rare Concepts AAAI 2022 Simulating Bandit Learning from User Feedback for Extractive Question Answering ACL 2022 Single Image Object Counting and Localizing Using Active-Learning WACV 2022 SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals ICML 2022 Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge NeurIPS 2022 Teaching Interactively to Learn Emotions in Natural Language NAACL 2022 The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes NeurIPS 2022 Towards Active Vision for Action Localization With Reactive Control and Predictive Learning WACV 2022 Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces AAAI 2022