mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Augment your batch: better training with larger batches Elad Hoffer Tal Ben-Nun Itay Hubara Niv Giladi Torsten Hoefler Daniel Soudry ODL 30 72 0 27 Jan 2019
Fixup Initialization: Residual Learning Without Normalization Hongyi Zhang Yann N. Dauphin Tengyu Ma ODL AI4CE 34 347 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 25 603 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 37 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 20 1 0 23 Dec 2018
DLOW: Domain Flow for Adaptation and Generalization R. Gong Wen Li Yuhua Chen Luc Van Gool OOD AI4CE 42 350 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 16 3 0 12 Dec 2018
Controlling Covariate Shift using Balanced Normalization of Weights Aaron Defazio Léon Bottou 21 0 0 11 Dec 2018
Detecting Adversarial Examples in Convolutional Neural Networks Stefanos Pertigkiozoglou Petros Maragos GAN AAML 20 16 0 08 Dec 2018
The Visual Centrifuge: Model-Free Layered Video Representations Jean-Baptiste Alayrac João Carreira Andrew Zisserman 21 48 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 224 1,400 0 04 Dec 2018
Deep Learning for Classical Japanese Literature Tarin Clanuwat Mikel Bober-Irizar A. Kitamoto Alex Lamb Kazuaki Yamamoto David R Ha 11 697 0 03 Dec 2018
Snapshot Distillation: Teacher-Student Optimization in One Generation Chenglin Yang Lingxi Xie Chi Su Alan Yuille 10 193 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 36 95 0 29 Nov 2018
Label-Noise Robust Generative Adversarial Networks Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada NoLa 30 60 0 27 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 32 118 0 26 Nov 2018
Combining High-Level Features of Raw Audio Waves and Mel-Spectrograms for Audio Tagging Marcel Lederle Benjamin Wilhelm 11 9 0 26 Nov 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs Ryo Takahashi Takashi Matsubara K. Uehara 28 326 0 22 Nov 2018
A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks Qian Wang Ning Jia T. Breckon UQCV 14 10 0 20 Nov 2018
Limited Gradient Descent: Learning With Noisy Labels Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 35 13 0 20 Nov 2018
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution Van-Thanh Hoang K. Jo 24 3 0 17 Nov 2018
AclNet: efficient end-to-end audio classification CNN Jonathan Huang Juan Jose Alvarado Leanos 19 50 0 16 Nov 2018
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization Senwei Liang Y. Khoo Haizhao Yang AI4CE 14 1 0 14 Nov 2018
Learning data augmentation policies using augmented random search Mingyang Geng Kele Xu Bo Ding Huaimin Wang Lei Zhang 27 9 0 12 Nov 2018
Generalization Bounds for Vicinal Risk Minimization Principle Chao Zhang Min-hsiu Hsieh Dacheng Tao AAML 24 8 0 11 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 21 22 0 03 Nov 2018
General audio tagging with ensembling convolutional neural network and statistical features Kele Xu Boqing Zhu Qiuqiang Kong Haibo Mi Bo Ding Dezhi Wang Huaimin Wang 22 30 0 30 Oct 2018
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation Guotai Wang Wenqi Li Sebastien Ourselin Tom Kamiel Magda Vercauteren 19 151 0 18 Oct 2018
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space Fuxun Yu Chenchen Liu Yanzhi Wang Liang Zhao Xiang Chen AAML OOD 39 27 0 29 Sep 2018
Predicting the Generalization Gap in Deep Networks with Margin Distributions Yiding Jiang Dilip Krishnan H. Mobahi Samy Bengio UQCV 29 198 0 28 Sep 2018
Adversarial Attacks on Cognitive Self-Organizing Networks: The Challenge and the Way Forward Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 23 20 0 26 Sep 2018
Semi-Supervised Sequence Modeling with Cross-View Training Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le SSL 11 333 0 22 Sep 2018
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 35 1,943 0 18 Sep 2018
Label Denoising with Large Ensembles of Heterogeneous Neural Networks Pavel Ostyakov Elizaveta Logacheva Roman Suvorov Vladimir Aliev Gleb Sterkin Oleg Khomenko Sergey I. Nikolenko NoLa 18 28 0 12 Sep 2018
Privacy-Preserving Deep Learning via Weight Transmission L. T. Phong T. Phuong FedML 22 87 0 10 Sep 2018
MixUp as Locally Linear Out-Of-Manifold Regularization Hongyu Guo Yongyi Mao Richong Zhang 20 320 0 07 Sep 2018
Deep Bilevel Learning Simon Jenni Paolo Favaro NoLa 19 114 0 05 Sep 2018
Deep Convolutional Neural Network with Mixup for Environmental Sound Classification Zhichao Zhang Shugong Xu Shan Cao Shunqing Zhang 19 128 0 25 Aug 2018
Out-of-Distribution Detection using Multiple Semantic Label Representations Gabi Shalev Yossi Adi Joseph Keshet OODD 16 85 0 20 Aug 2018
Sample Mixed-Based Data Augmentation for Domestic Audio Tagging Shengyun Wei Kele Xu Dezhi Wang Feifan Liao Huaimin Wang Qiuqiang Kong 137 38 0 12 Aug 2018
Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition Che-Wei Huang Shrikanth S. Narayanan 19 2 0 02 Aug 2018
Acoustic Scene Classification: A Competition Review Shayan Gharib Honain Derrar Daisuke Niizumi Tuukka Senttula Janne Tommola Toni Heittola Tuomas Virtanen H. Huttunen 25 18 0 02 Aug 2018
Rob-GAN: Generator, Discriminator, and Adversarial Attacker Xuanqing Liu Cho-Jui Hsieh GAN 24 6 0 27 Jul 2018
Aggregated Learning: A Deep Learning Framework Based on Information-Bottleneck Vector Quantization Hongyu Guo Yongyi Mao Ali Al-Bashabsheh Richong Zhang MQ 14 4 0 26 Jul 2018
A Simple Probabilistic Model for Uncertainty Estimation A. Kuvaev R. Khudorozhkov 22 0 0 24 Jul 2018
Noise Contrastive Priors for Functional Uncertainty Danijar Hafner Dustin Tran Timothy Lillicrap A. Irpan James Davidson AAML BDL UQCV 32 74 0 24 Jul 2018
Competitive Inner-Imaging Squeeze and Excitation for Residual Network Yang Hu Guihua Wen Mingnan Luo Dan Dai Jiajiong Ma Zhiwen Yu 45 46 0 24 Jul 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Arber Zela Aaron Klein Stefan Falkner Frank Hutter 35 159 0 18 Jul 2018
Icing on the Cake: An Easy and Quick Post-Learnig Method You Can Try After Deep Learning Tomohiko Konno M. Iwazume 19 16 0 17 Jul 2018
A feature agnostic approach for glaucoma detection in OCT volumes S. Maetschke B. Antony H. Ishikawa Gadi Wollstein Joel S. Schuman Rahil Garvani 24 168 0 12 Jul 2018