Papers citing 'mixup: Beyond Empirical Risk Minimization'

Title
Combining High-Level Features of Raw Audio Waves and Mel-Spectrograms for Audio Tagging Marcel Lederle Benjamin Wilhelm 43 10 0 26 Nov 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs Ryo Takahashi Takashi Matsubara K. Uehara 245 367 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 228 10 0 20 Nov 2018
Limited Gradient Descent: Learning With Noisy LabelsIEEE Access (IEEE Access), 2018 Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 210 13 0 20 Nov 2018
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution Van-Thanh Hoang K. Jo 119 3 0 17 Nov 2018
AclNet: efficient end-to-end audio classification CNN Jonathan Huang Juan Jose Alvarado Leanos 113 54 0 16 Nov 2018
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization Senwei Liang Y. Khoo Haizhao Yang AI4CE 119 2 0 14 Nov 2018
Learning data augmentation policies using augmented random search Mingyang Geng Kele Xu Bo Ding Huaimin Wang Lei Zhang 88 10 0 12 Nov 2018
Generalization Bounds for Vicinal Risk Minimization Principle Chao Zhang Min-hsiu Hsieh Dacheng Tao AAML 115 9 0 11 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 249 23 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 101 34 0 30 Oct 2018
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation Guotai Wang Wenqi Li Sebastien Ourselin Tom Vercauteren 94 166 0 18 Oct 2018
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space Fuxun Yu Chenchen Liu Yanzhi Wang Bo Pan Xiang Chen AAML OOD 282 28 0 29 Sep 2018
Predicting the Generalization Gap in Deep Networks with Margin Distributions Yiding Jiang Dilip Krishnan H. Mobahi Samy Bengio UQCV 278 212 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 117 21 0 26 Sep 2018
Semi-Supervised Sequence Modeling with Cross-View Training Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le SSL 195 337 0 22 Sep 2018
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 454 2,281 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 106 28 0 12 Sep 2018
Privacy-Preserving Deep Learning via Weight Transmission L. T. Phong T. Phuong FedML 157 93 0 10 Sep 2018
MixUp as Locally Linear Out-Of-Manifold Regularization Hongyu Guo Yongyi Mao Richong Zhang 266 340 0 07 Sep 2018
Deep Bilevel Learning Simon Jenni Paolo Favaro NoLa 144 119 0 05 Sep 2018
Deep Convolutional Neural Network with Mixup for Environmental Sound Classification Zhichao Zhang Shugong Xu Shan Cao Shunqing Zhang 102 137 0 25 Aug 2018
Out-of-Distribution Detection using Multiple Semantic Label Representations Gabi Shalev Yossi Adi Joseph Keshet OODD 191 90 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 618 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 124 2 0 02 Aug 2018
Acoustic Scene Classification: A Competition Review Shayan Gharib Honain Derrar Daisuke Niizumi Tuukka Senttula Janne Tommola Toni Heittola Maria Sandsten H. Huttunen 85 18 0 02 Aug 2018
Rob-GAN: Generator, Discriminator, and Adversarial Attacker Xuanqing Liu Cho-Jui Hsieh GAN 118 7 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 158 4 0 26 Jul 2018
A Simple Probabilistic Model for Uncertainty Estimation A. Kuvaev R. Khudorozhkov 37 0 0 24 Jul 2018
Noise Contrastive Priors for Functional Uncertainty Danijar Hafner Dustin Tran Timothy Lillicrap A. Irpan James Davidson AAML BDL UQCV 285 77 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 266 47 0 24 Jul 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Arber Zela Aaron Klein Stefan Falkner Katharina Eggensperger 139 171 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 103 17 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 180 177 0 12 Jul 2018
Hydranet: Data Augmentation for Regression Neural Networks Florian Dubost Gerda Bortsova H. Adams M. Ikram W. Niessen Meike W. Vernooij Marleen de Bruijne MedIm 125 13 0 12 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Juil Sock AAML 270 72 0 11 Jul 2018
Sequence-to-Sequence Data Augmentation for Dialogue Language UnderstandingInternational Conference on Computational Linguistics (COLING), 2018 Yutai Hou Yijia Liu Wanxiang Che Ting Liu 160 158 0 04 Jul 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 493 1,823 0 22 Jun 2018
Manifold Mixup: Better Representations by Interpolating Hidden States Vikas Verma Alex Lamb Christopher Beckham Amir Najafi Alexia Jolicoeur-Martineau Aaron Courville David Lopez-Paz Yoshua Bengio AAML DRL 235 37 0 13 Jun 2018
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization Haimin Zhang Min Xu 86 0 0 11 Jun 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 221 155 0 11 Jun 2018
Monge blunts Bayes: Hardness Results for Adversarial Training Zac Cranko A. Menon Richard Nock Cheng Soon Ong Zhan Shi Christian J. Walder AAML 163 17 0 08 Jun 2018
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching S. Tulyakov A. Ivanov François Fleuret 3DV 170 135 0 05 Jun 2018
Collaborative Learning for Deep Neural Networks Guocong Song Wei Chai FedML 146 215 0 30 May 2018
Improved Mixed-Example Data Augmentation Cecilia Summers M. Dinneen 237 174 0 29 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 169 18 0 24 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 616 1,891 0 24 May 2018
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction Hongyuan Mei Sheng Zhang Kevin Duh Benjamin Van Durme 80 2 0 21 May 2018
A Simple Cache Model for Image Recognition Emin Orhan VLM 220 34 0 21 May 2018
Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network Kele Xu Dawei Feng Haibo Mi Boqing Zhu Dezhi Wang Lilun Zhang Hengxing Cai S. Liu 138 95 0 18 May 2018