Consistency-based Semi-supervised Active Learning: Towards Minimizing
Labeling Cost

Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost

16 October 2019

Sercan Ö. Arik

Tomas Pfister

Papers citing "Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost"

15 / 15 papers shown

Title
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning David Aparco-Cardenas Jancarlo F. Gomes Alexandre X. Falcão Pedro J. de Rezende 38 0 0 25 Apr 2025
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model Kyeongjin Ahn Sungwon Han Sungwon Park Jihee Kim Sangyoon Park Meeyoung Cha 16 2 0 12 Jun 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 14 12 0 05 Dec 2023
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning A. Hekimoglu Michael Schmidt Alvaro Marcos-Ramiro 3DPC 16 10 0 17 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 9 0 0 07 Jul 2023
Active Teacher for Semi-Supervised Object Detection Peng Mi Jianghang Lin Yiyi Zhou Yunhang Shen Gen Luo Xiaoshuai Sun Liujuan Cao Rongrong Fu Qiang Xu Rongrong Ji 45 60 0 15 Mar 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation Mélanie Gaillochet Christian Desrosiers H. Lombaert 11 11 0 16 Jan 2023
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection Zhenyu Wu Lin Wang Wen Wang Qing Xia Chenglizhao Chen Aimin Hao Shuo Li AAML 17 5 0 13 Dec 2022
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification Yu Li Mu-Hwa Chen Yannan Liu Daojing He Qiang Xu 15 9 0 30 Nov 2022
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning F. Buchert Nassir Navab Seong Tae Kim 12 6 0 25 Jul 2022
Optimizing Active Learning for Low Annotation Budgets Umang Aggarwal Adrian Daniel Popescu C´eline Hudelot 16 1 0 18 Jan 2022
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 23 32 0 26 Oct 2021
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 178 243 0 14 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 9,042 0 06 Jun 2015