mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Generalization Bounds for Vicinal Risk Minimization Principle Chao Zhang Min-hsiu Hsieh Dacheng Tao AAML 14 8 0 11 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 8 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 14 151 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 31 27 0 29 Sep 2018
Predicting the Generalization Gap in Deep Networks with Margin Distributions Yiding Jiang Dilip Krishnan H. Mobahi Samy Bengio UQCV 19 198 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 15 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 6 333 0 22 Sep 2018
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 11 1,935 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 16 28 0 12 Sep 2018
Privacy-Preserving Deep Learning via Weight Transmission L. T. Phong T. Phuong FedML 12 87 0 10 Sep 2018
MixUp as Locally Linear Out-Of-Manifold Regularization Hongyu Guo Yongyi Mao Richong Zhang 9 320 0 07 Sep 2018
Deep Bilevel Learning Simon Jenni Paolo Favaro NoLa 9 114 0 05 Sep 2018
Deep Convolutional Neural Network with Mixup for Environmental Sound Classification Zhichao Zhang Shugong Xu Shan Cao Shunqing Zhang 11 128 0 25 Aug 2018
Out-of-Distribution Detection using Multiple Semantic Label Representations Gabi Shalev Yossi Adi Joseph Keshet OODD 8 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 51 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 11 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 23 18 0 02 Aug 2018
Rob-GAN: Generator, Discriminator, and Adversarial Attacker Xuanqing Liu Cho-Jui Hsieh GAN 11 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 19 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 37 46 0 24 Jul 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Arber Zela Aaron Klein Stefan Falkner Frank Hutter 22 158 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 14 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 16 168 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 14 9 0 12 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Philip H. S. Torr AAML 8 70 0 11 Jul 2018
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding Yutai Hou Yijia Liu Wanxiang Che Ting Liu 19 151 0 04 Jul 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min-Bin Lin Fred Hamprecht Yoshua Bengio Aaron Courville 28 1,386 0 22 Jun 2018
Manifold Mixup: Better Representations by Interpolating Hidden States Vikas Verma Alex Lamb Christopher Beckham Amir Najafi Ioannis Mitliagkas Aaron Courville David Lopez-Paz Yoshua Bengio AAML DRL 12 34 0 13 Jun 2018
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization Haimin Zhang Min Xu 17 0 0 11 Jun 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 30 141 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 18 16 0 08 Jun 2018
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching S. Tulyakov A. Ivanov F. Fleuret 3DV 9 126 0 05 Jun 2018
Collaborative Learning for Deep Neural Networks Guocong Song Wei Chai FedML 13 192 0 30 May 2018
Improved Mixed-Example Data Augmentation Cecilia Summers M. Dinneen 22 159 0 29 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 18 16 0 24 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 40 1,754 0 24 May 2018
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction Hongyuan Mei Sheng Zhang Kevin Duh Benjamin Van Durme 14 2 0 21 May 2018
A Simple Cache Model for Image Recognition Emin Orhan VLM 9 30 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 11 92 0 18 May 2018
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks Sungjoon Choi Sanghoon Hong Kyungjae Lee Sungbin Lim OOD 16 8 0 16 May 2018
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students Chenglin Yang Lingxi Xie Siyuan Qiao Alan Yuille 25 135 0 15 May 2018
Towards a universal neural network encoder for time series Joan Serra Santiago Pascual Alexandros Karatzoglou AI4TS 19 119 0 10 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 125 498 0 24 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 11 229 0 15 Apr 2018
Convolutional Neural Networks Regularized by Correlated Noise Shamak Dutta B. Tripp Graham W. Taylor 14 6 0 03 Apr 2018
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification Yan Wang Lingxi Xie Siyuan Qiao Ya-Qin Zhang Wenjun Zhang Alan Yuille 11 13 0 03 Apr 2018
Parallel Grid Pooling for Data Augmentation Akito Takeki Daiki Ikami Go Irie Kiyoharu Aizawa 8 7 0 30 Mar 2018