Active Learning

Robust Active Distillation ICLR 2023 ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy WACV 2023 SAAL: Sharpness-Aware Active Learning ICML 2023 SALAD: Source-Free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection WACV 2023 Sample Efficient Paradigms for Personalized Assessment of Taskable AI Systems IJCAI 2023 Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing ICLR 2023 Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models EMNLP 2023 Selective Sampling and Imitation Learning via Online Regression NeurIPS 2023 Semantic Segmentation With Active Semi-Supervised Learning WACV 2023 Semi-Verified PAC Learning from the Crowd AISTATS 2023 Small-Text: Active Learning for Text Classification in Python EACL 2023 Spatially Adaptive Online Prediction of Piecewise Regular Functions ALT 2023 STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations AAAI 2023 Stealthy Terrain-Aware Multi-Agent Active Search CoRL 2023 Streaming Active Learning with Deep Neural Networks ICML 2023 Teaching to Learn: Sequential Teaching of Learners with Internal States AAAI 2023 The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning ACL 2023 THMA: Tencent HD Map AI System for Creating HD Map Annotations AAAI 2023 Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits ICML 2023 TiDAL: Learning Training Dynamics for Active Learning ICCV 2023 Time-Incremental Learning of Temporal Logic Classifiers Using Decision Trees L4DC 2023 Towards Accelerated Model Training via Bayesian Data Selection NeurIPS 2023 Towards Controlled Data Augmentations for Active Learning ICML 2023 Towards Free Data Selection with General-Purpose Models NeurIPS 2023 Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection ICLR 2023