Observations on K-image Expansion of Image-Mixing Augmentation for Classification

8 October 2021

Papers citing "Observations on K-image Expansion of Image-Mixing Augmentation for Classification"

45 / 45 papers shown

Title
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 247 180 0 05 Feb 2021
Neural Architecture Search with Random Labels Xuanyang Zhang Pengfei Hou Xinming Zhang Jian Sun 57 53 0 28 Jan 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 464 146 0 13 Jan 2021
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 76 390 0 15 Sep 2020
CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha Hsiang Hsu Taebaek Hwang Flavio du Pin Calmon Taesup Moon CLL 58 76 0 12 Jun 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization A. Uddin Sirazam Monira Wheemyung Shin TaeChoong Chung Sung-Ho Bae 49 228 0 02 Jun 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Y. Yoo AAML OOD 393 53 0 09 Mar 2020
PyHessian: Neural Networks Through the Lens of the Hessian Z. Yao A. Gholami Kurt Keutzer Michael W. Mahoney ODL 51 302 0 16 Dec 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 193 1,469 0 16 Jul 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search Yuhui Xu Lingxi Xie Xiaopeng Zhang Xin Chen Guo-Jun Qi Qi Tian H. Xiong 74 609 0 12 Jul 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search Hongpeng Zhou Minghao Yang Jun Wang Wei Pan BDL 77 198 0 13 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 604 4,777 0 13 May 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling Zichao Guo Xiangyu Zhang Haoyuan Mu Wen Heng Zechun Liu Yichen Wei Jian Sun 66 938 0 31 Mar 2019
SNAS: Stochastic Neural Architecture Search Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin 80 935 0 24 Dec 2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Bichen Wu Xiaoliang Dai Peizhao Zhang Yanghan Wang Fei Sun Yiming Wu Yuandong Tian Peter Vajda Yangqing Jia Kurt Keutzer MQ 97 1,303 0 09 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 93 1,867 0 02 Dec 2018
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 105 914 0 30 Oct 2018
BlockQNN: Efficient Block-wise Neural Network Architecture Generation Zhaobai Zhong Zichen Yang Boyang Deng Junjie Yan Wei Wu Jing Shao Cheng-Lin Liu 62 116 0 16 Aug 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew G. Howard Quoc V. Le MQ 117 3,009 0 31 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 185 4,350 0 24 Jun 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 139 1,424 0 24 Mar 2018
Not All Samples Are Created Equal: Deep Learning with Importance Sampling Angelos Katharopoulos François Fleuret 87 519 0 02 Mar 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 150 3,025 0 05 Feb 2018
Countering Adversarial Images using Input Transformations Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten AAML 105 1,404 0 31 Oct 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 271 9,759 0 25 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 107 3,764 0 15 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 170 5,596 0 21 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 285 12,060 0 19 Jun 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 143 1,650 0 01 Jun 2017
Biased Importance Sampling for Deep Neural Network Training Angelos Katharopoulos François Fleuret 50 68 0 31 May 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 68 1,732 0 08 Mar 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 161 1,137 0 23 Jan 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 499 10,318 0 16 Nov 2016
Designing Neural Network Architectures using Reinforcement Learning Bowen Baker O. Gupta Nikhil Naik Ramesh Raskar 107 1,468 0 07 Nov 2016
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys Pratik Chaudhari A. Choromańska Stefano Soatto Yann LeCun Carlo Baldassi C. Borgs J. Chayes Levent Sagun R. Zecchina ODL 94 773 0 06 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 443 5,367 0 05 Nov 2016
Deep Pyramidal Residual Networks Dongyoon Han Jiwhan Kim Junmo Kim 93 694 0 10 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 417 2,935 0 15 Sep 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 328 7,980 0 23 May 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 207 2,356 0 30 Mar 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 348 10,180 0 16 Mar 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 855 27,350 0 02 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 769 9,302 0 06 Jun 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 252 19,045 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 255 14,912 1 21 Dec 2013