Awesome Active Learning A list of active learning methods for deep learning, computer vision and beyond. Title Venue Coherence-Based Label Propagation over Time Series for Accelerated Active Learning ICLR'22 Active Learning for Human-in-the-loop Customs Inspection TKDE'22 Influence Selection for Active Learning ICCV'21 Task-Aware Variational Adversarial Active Learning CVPR'21 Sequential Graph Convolutional Network for Active Learning CVPR'21 Multiple Instance Active Learning for Object Detection CVPR'21 VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning CVPR'21 Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision CVPR'20 State-Relabeling Adversarial Active Learning CVPR'20 Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds ICLR'20 Adversarial Sampling for Active Learning WACV'20 Carpe Diem, Seize the Samples Uncertain at the Moment for Adaptive Batch Selection Machine Learning'20 Ada-Boundary: Accelerating the DNN Training via Adaptive Boundary Batch Selection CIKM'20 Discriminative Active Learning arXiv'19 Semantic Redundancies in Image-Classification Datasets: The 10% You Don’t Need arXiv'19 BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NIPS'19 Bayesian Batch Active Learning as Sparse Subset Approximation NIPS'19 Learning Loss for Active Learning CVPR'19 Bayesian Generative Active Deep Learning ICML'19 Variational Adversarial Active Learning ICCV'19 Active Learning for Convolutional Neural Networks: A Core-Set Approach ICLR'18 The Power of Ensembles for Active Learning in Image Classification CVPR'18 Adversarial Active Learning for Sequence Labeling and Generation IJCAI'18 Active Decision Boundary Annotation with Deep Generative Models ICCV'17 Deep Bayesian Active Learning with Image Data ICML'17 Generative Adversarial Active Learning arXiv'17 Active Image Segmentation Propagation CVPR'16 Cost-Effective Active Learning for Deep Image Classification TCSVT'16
