Robust Deep Learning with Active Noise Cancellation for Spatial Computing

16 November 2020

Papers citing "Robust Deep Learning with Active Noise Cancellation for Spatial Computing"

20 / 20 papers shown

Title
Label Noise Types and Their Effects on Deep Learning G. Algan ilkay Ulusoy NoLa 78 53 0 23 Mar 2020
On Symmetric Losses for Learning from Corrupted Labels Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama NoLa 92 105 0 27 Jan 2019
Hyperspectral Image Classification in the Presence of Noisy Labels Junjun Jiang Jiayi Ma Zheng Wang Chen Chen Xianming Liu NoLa 62 162 0 12 Sep 2018
SpaceNet: A Remote Sensing Dataset and Challenge Series A. V. Etten David Lindenbaum Todd M. Bacastow 84 394 0 03 Jul 2018
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images Ilke Demir Krzysztof Koperski David Lindenbaum Guan Pang Jing Huang Saikat Basu Forest Hughes D. Tuia Ramesh Raskar 60 846 0 17 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 132 2,082 0 18 Apr 2018
Iterative Learning with Open-set Noisy Labels Yisen Wang Weiyang Liu Xingjun Ma James Bailey H. Zha Le Song Shutao Xia NoLa 84 328 0 31 Mar 2018
Mapping the world population one building at a time T. Tiecke Xianming Liu Amy Zhang A. Gros Nan Li ... Talip Kilic S. Murray B. Blankespoor Espen B. Prydz Hai-Anh H. Dang 54 143 0 15 Dec 2017
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 133 1,459 0 14 Dec 2017
Learning Aerial Image Segmentation from Online Maps Pascal Kaiser Jan Dirk Wegner Aurelien Lucchi Martin Jaggi Thomas Hofmann Konrad Schindler SSeg SSL 44 284 0 21 Jul 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 141 1,829 0 16 Jun 2017
Decoupling "when to update" from "how to update" Eran Malach Shai Shalev-Shwartz NoLa 104 569 0 08 Jun 2017
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels Curtis G. Northcutt Tailin Wu Isaac L. Chuang NoLa 85 160 0 04 May 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 192 2,570 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
A Light CNN for Deep Face Representation with Noisy Labels Xiang Wu Ran He Zhenan Sun Tieniu Tan CVBM 107 1,075 0 09 Nov 2015
Learning with Symmetric Label Noise: The Importance of Being Unhinged Brendan van Rooyen A. Menon Robert C. Williamson NoLa 172 313 0 28 May 2015
Training Deep Neural Networks on Noisy Labels with Bootstrapping Scott E. Reed Honglak Lee Dragomir Anguelov Christian Szegedy D. Erhan Andrew Rabinovich NoLa 125 1,023 0 20 Dec 2014
Making Risk Minimization Tolerant to Label Noise Aritra Ghosh Naresh Manwani P. Sastry NoLa 167 215 0 14 Mar 2014
Noise Tolerance under Risk Minimization Naresh Manwani S. M. I. P. S. Sastry NoLa 201 277 0 24 Sep 2011