Temporal Output Discrepancy for Loss Estimation-based Active Learning

20 December 2022

Siyu Huang

Haoyi Xiong

Papers citing "Temporal Output Discrepancy for Loss Estimation-based Active Learning"

34 / 34 papers shown

Title
Semi-Supervised Active Learning with Temporal Output Discrepancy Siyu Huang Tianyang Wang Haoyi Xiong Jun Huan Dejing Dou UQCV 49 66 0 29 Jul 2021
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes Caixia Yan Xiaojun Chang Minnan Luo Q. Zheng Xiaoqin Zhang Zhihui Li Feiping Nie 36 114 0 24 Sep 2020
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 93 1,139 0 30 Aug 2020
Sequential Graph Convolutional Network for Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim GNN 96 122 0 18 Jun 2020
State-Relabeling Adversarial Active Learning Beichen Zhang Liang Li Shijie Yang Shuhui Wang Zhengjun Zha Qingming Huang 60 128 0 10 Apr 2020
Task-Aware Variational Adversarial Active Learning Kwanyoung Kim Dongwon Park K. Kim S. Chun VLM OOD 40 144 0 11 Feb 2020
The Local Elasticity of Neural Networks Hangfeng He Weijie J. Su 72 45 0 15 Oct 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach CLL BDL 56 197 0 06 Jun 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 85 660 0 09 May 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 119 579 0 31 Mar 2019
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection Weicheng Kuo Christian Häne E. Yuh P. Mukherjee Jitendra Malik OOD 51 98 0 08 Sep 2018
Adversarial Sampling for Active Learning Christoph Mayer Radu Timofte GAN 123 117 0 20 Aug 2018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 252 244 0 14 Jun 2018
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran M. Reyes GAN MedIm 95 176 0 14 Jun 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 83 529 0 28 May 2018
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection Keze Wang Xiaopeng Yan Dongyu Zhang Lei Zhang Liang Lin ObjD 97 101 0 27 Mar 2018
Adversarial Active Learning for Deep Networks: a Margin Based Approach Mélanie Ducoffe F. Precioso GAN AAML 138 274 0 27 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 280 8,878 0 25 Aug 2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation Ling Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Chen MedIm 71 504 0 15 Jun 2017
Dilated Residual Networks Feng Yu V. Koltun Thomas Funkhouser MedIm 119 1,617 0 28 May 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 146 2,733 0 13 Apr 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 203 2,885 0 14 Mar 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 68 1,735 0 08 Mar 2017
Generative Adversarial Active Learning Jia Jie Zhu José Bento GAN 49 185 0 25 Feb 2017
Cost-Effective Active Learning for Deep Image Classification Keze Wang Dongyu Zhang Ya Li Ruimao Zhang Liang Lin VLM 88 679 0 13 Jan 2017
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes Christoph Käding E. Rodner Alexander Freytag Joachim Denzler VLM BDL CLL 72 61 0 19 Dec 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 185 2,555 0 07 Oct 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,609 0 06 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,306 0 06 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 164 2,781 0 19 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 85 2,740 0 20 Jun 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 270 14,918 1 21 Dec 2013