Papers citing 'mixup: Beyond Empirical Risk Minimization'

Title
Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted DomainInternational Conference on Information Photonics (ICIP), 2019 Warit Sirichotedumrong Takahiro Maekawa Yuma Kinoshita Hitoshi Kiya 128 91 0 06 May 2019
A Survey on Neural Architecture Search Martin Wistuba Ambrish Rawat Tejaswini Pedapati AI4CE 207 276 0 04 May 2019
Billion-scale semi-supervised learning for image classification I. Z. Yalniz Edouard Grave Kan Chen Manohar Paluri D. Mahajan SSL 293 475 0 02 May 2019
Fast AutoAugmentNeural Information Processing Systems (NeurIPS), 2019 Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 288 641 0 01 May 2019
Introducing Graph Smoothness Loss for Training Deep Learning ArchitecturesData Science Workshop (DS), 2019 Myriam Bontonou Carlos Lassance G. B. Hacene Vincent Gripon Jian Tang Antonio Ortega 116 18 0 01 May 2019
Unsupervised Data Augmentation for Consistency TrainingNeural Information Processing Systems (NeurIPS), 2019 Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 654 2,514 0 29 Apr 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 361 682 0 25 Apr 2019
Inner-Imaging Networks: Put Lenses into Convolutional Structure Yang Hu Guihua Wen Mingnan Luo Dan Dai Wenming Cao Zhiwen Yu Wendy Hall 157 3 0 22 Apr 2019
Stochastic Region Pooling: Make Attention More Expressive Mingnan Luo Guihua Wen Yang Hu Dan Dai Yingxue Xu 75 7 0 22 Apr 2019
Good-Enough Compositional Data Augmentation Jacob Andreas 330 240 0 21 Apr 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 221 275 0 16 Apr 2019
Unsupervised Singing Voice Conversion Eliya Nachmani Lior Wolf 235 58 0 13 Apr 2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution Yunpeng Chen Haoqi Fan Bing Xu Zhicheng Yan Yannis Kalantidis Marcus Rohrbach Shuicheng Yan Jiashi Feng 268 626 0 10 Apr 2019
CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang Gabriel Bender Quoc V. Le Jiquan Ngiam MedIm 3DV 323 736 0 10 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task Kenta Hama Takashi Matsubara K. Uehara Jianfei Cai BDL UQCV 135 6 0 09 Apr 2019
Few-Shot Learning via Saliency-guided Hallucination of Samples Hongguang Zhang Jing Zhang Piotr Koniusz 166 209 0 06 Apr 2019
A Comprehensive Overhaul of Feature Distillation Byeongho Heo Jeesoo Kim Sangdoo Yun Hyojin Park Nojun Kwak J. Choi 290 672 0 03 Apr 2019
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets Maria Perez-Ortiz Peter Tiño Rafał K. Mantiuk C. Hervás‐Martínez 75 17 0 24 Mar 2019
Convolution with even-sized kernels and symmetric paddingNeural Information Processing Systems (NeurIPS), 2019 Shuang Wu Guanrui Wang Pei Tang F. Chen Luping Shi 195 77 0 20 Mar 2019
Manifold Mixup improves text recognition with CTC loss Bastien Moysset Ronaldo O. Messina 85 4 0 11 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 284 848 0 09 Mar 2019
On Adversarial Mixup Resynthesis Christopher Beckham S. Honari Vikas Verma Alex Lamb F. Ghadiri R. Devon Hjelm Yoshua Bengio C. Pal AAML 254 12 0 07 Mar 2019
Safeguarded Dynamic Label Regression for Generalized Noisy Supervision Jiangchao Yao Ya Zhang Ivor W. Tsang Jun-wei Sun NoLa 97 1 0 06 Mar 2019
Complement Objective TrainingInternational Conference on Learning Representations (ICLR), 2019 Hao-Yun Chen Pei-Hsin Wang Chun-Hao Liu Shih-Chieh Chang Jia Pan Yutian Chen Wei Wei Da-Cheng Juan AAML 162 53 0 04 Mar 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image SegmentationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2018 Yizhe Zhang Lin Yang Hao Zheng Peixian Liang Colleen A. Mangold R. Loreto David P. Hughes Benlin Liu MedIm 118 15 0 28 Feb 2019
Single-frame Regularization for Temporally Stable CNNsComputer Vision and Pattern Recognition (CVPR), 2019 Gabriel Eilertsen Rafał K. Mantiuk Jonas Unger 177 46 0 27 Feb 2019
LaSO: Label-Set Operations networks for multi-label few-shot learningComputer Vision and Pattern Recognition (CVPR), 2019 Amit Alfassy Leonid Karlinsky Amit Aides J. Shtok Sivan Harary Rogerio Feris Raja Giryes A. Bronstein 200 126 0 26 Feb 2019
MultiGrain: a unified image embedding for classes and instances Maxim Berman Edouard Grave Andrea Vedaldi Iasonas Kokkinos Matthijs Douze 230 117 0 14 Feb 2019
Bag of Freebies for Training Object Detection Neural Networks Zhi-Li Zhang Tong He Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li VLM ObjD 192 199 0 11 Feb 2019
Semi-Supervised and Task-Driven Data AugmentationInformation Processing in Medical Imaging (IPMI), 2019 K. Chaitanya Neerav Karani Christian F. Baumgartner O. Donati Anton S. Becker E. Konukoglu MedIm 280 147 0 11 Feb 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 215 23 0 06 Feb 2019
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity Yingzhen Yang Jiahui Yu Xingjian Li Jun Huan Thomas S. Huang AI4CE 211 6 0 03 Feb 2019
Augment your batch: better training with larger batches Elad Hoffer Tal Ben-Nun Itay Hubara Niv Giladi Torsten Hoefler Daniel Soudry ODL 198 77 0 27 Jan 2019
Fixup Initialization: Residual Learning Without Normalization Hongyi Zhang Yann N. Dauphin Tengyu Ma ODL AI4CE 275 366 0 27 Jan 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 243 689 0 22 Jan 2019
Differentially Private ADMM for Distributed Medical Machine Learning Jiahao Ding Xiaoqi Qin Wenjun Xu Yanmin Gong Zhu Han Miao Pan FedML 327 20 0 07 Jan 2019
Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features Yingxue Xu Guihua Wen Yang Hu Mingnan Luo Dan Dai Y. Zhuang MedIm 87 1 0 23 Dec 2018
DLOW: Domain Flow for Adaptation and Generalization R. Gong Wen Li Yuhua Chen Luc Van Gool OOD AI4CE 237 383 0 13 Dec 2018
Bridging the Generalization Gap: Training Robust Models on Confounded Biological Data Tzu-Yu Liu A. Kannan Adam Drake Marvin Bertin Nathan Wan FedML OOD CML AI4CE 55 4 0 12 Dec 2018
Controlling Covariate Shift using Balanced Normalization of Weights Aaron Defazio Léon Bottou 53 0 0 11 Dec 2018
Detecting Adversarial Examples in Convolutional Neural Networks Stefanos Pertigkiozoglou Petros Maragos GAN AAML 116 18 0 08 Dec 2018
The Visual Centrifuge: Model-Free Layered Video Representations Jean-Baptiste Alayrac João Carreira Andrew Zisserman 176 49 0 04 Dec 2018
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 590 1,518 0 04 Dec 2018
Deep Learning for Classical Japanese Literature Tarin Clanuwat Mikel Bober-Irizar A. Kitamoto Alex Lamb Kazuaki Yamamoto David R Ha 245 782 0 03 Dec 2018
Snapshot Distillation: Teacher-Student Optimization in One Generation Chenglin Yang Lingxi Xie Chi Su Alan Yuille 180 215 0 01 Dec 2018
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks Kazuki Osawa Yohei Tsuji Yuichiro Ueno Akira Naruse Rio Yokota Satoshi Matsuoka ODL 279 96 0 29 Nov 2018
Label-Noise Robust Generative Adversarial Networks Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada NoLa 227 68 0 27 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 159 120 0 26 Nov 2018
Combining High-Level Features of Raw Audio Waves and Mel-Spectrograms for Audio Tagging Marcel Lederle Benjamin Wilhelm 39 10 0 26 Nov 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs Ryo Takahashi Takashi Matsubara K. Uehara 241 367 0 22 Nov 2018

Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted DomainInternational Conference on Information Photonics (ICIP), 2019

Warit Sirichotedumrong

Takahiro Maekawa

Yuma Kinoshita

Hitoshi Kiya

128

91

0

06 May 2019