mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Improved Mix-up with KL-Entropy for Learning From Noisy Labels Qian Zhang Feifei Lee Ya-Gang Wang Qiu Chen NoLa 9 0 0 15 Aug 2019
Benchmarking the Robustness of Semantic Segmentation Models Christoph Kamann Carsten Rother VLM UQCV 22 160 0 14 Aug 2019
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation E. Panfilov A. Tiulpin S. Klein M. Nieminen S. Saarakkala OOD 27 71 0 12 Aug 2019
Fast Point R-CNN Yilun Chen Shu Liu Xiaoyong Shen Jiaya Jia 3DPC 25 380 0 08 Aug 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 34 819 0 08 Aug 2019
Inference of visual field test performance from OCT volumes using deep learning S. Maetschke B. Antony H. Ishikawa Gadi Wollstein J. Schuman R. Garnavi 24 8 0 05 Aug 2019
Attentive Normalization Xilai Li Wei Sun Tianfu Wu OOD ViT 28 31 0 04 Aug 2019
Sound source detection, localization and classification using consecutive ensemble of CRNN models Slawomir Kapka M. Lewandowski 16 66 0 02 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 48 1,423 0 02 Aug 2019
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation Vincent Michalski Vikram S. Voleti Samira Ebrahimi Kahou Anthony Ortiz Pascal Vincent C. Pal Doina Precup BDL 27 6 0 31 Jul 2019
Efficient Method for Categorize Animals in the Wild Abulikemu Abuduweili Xin Wu Xingchen Tao 21 4 0 30 Jul 2019
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks A. Tiulpin Iaroslav Melekhov S. Saarakkala 24 44 0 29 Jul 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 36 327 0 28 Jul 2019
Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress José G. M. Esgario R. Krohling J. A. Ventura 21 231 0 26 Jul 2019
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images Fei Yu Jie Zhao Y. Gong Zhi Wang Yuxi Li Fan Yang Bin Dong Quanzheng Li Li Zhang GAN MedIm 24 33 0 26 Jul 2019
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation Zeju Li Konstantinos Kamnitsas Ben Glocker SSeg 15 94 0 25 Jul 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 23 230 0 24 Jul 2019
HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods Ziqiang Shi Liu Liu Huibin Lin Rujie Liu Anyan Shi 22 20 0 17 Jul 2019
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization Kenji Kawaguchi Haihao Lu ODL 30 62 0 09 Jul 2019
Improving short text classification through global augmentation methods Vukosi Marivate T. Sefara VLM 26 95 0 07 Jul 2019
Adversarial Attacks in Sound Event Classification Vinod Subramanian Emmanouil Benetos N. Xu SKoT McDonald Mark Sandler AAML 14 8 0 04 Jul 2019
Attention based Convolutional Recurrent Neural Network for Environmental Sound Classification Zhichao Zhang Shugong Xu Tianhao Qiao Shunqing Zhang Shan Cao 24 113 0 04 Jul 2019
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search Xiangxiang Chu Bo Zhang Ruijun Xu 24 332 0 03 Jul 2019
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification Khaled Koutini Hamid Eghbalzadeh Matthias Dorfer Gerhard Widmer 14 86 0 03 Jul 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 39 523 0 26 Jun 2019
Improving performance of deep learning models with axiomatic attribution priors and expected gradients G. Erion Joseph D. Janizek Pascal Sturmfels Scott M. Lundberg Su-In Lee OOD BDL FAtt 21 80 0 25 Jun 2019
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning Phi Vu Tran SSL 14 16 0 25 Jun 2019
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network Hideki Oki Takio Kurita SSL 16 4 0 24 Jun 2019
Defending Against Adversarial Examples with K-Nearest Neighbor Chawin Sitawarin David Wagner AAML 11 29 0 23 Jun 2019
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy Angelica I. Aviles-Rivero Nicolas Papadakis Ruoteng Li P. Sellars Samar M. Alsaleh R. Tan Carola-Bibiane Schönlieb 27 3 0 20 Jun 2019
Adversarial Learning for Improved Onsets and Frames Music Transcription Jong Wook Kim J. P. Bello 19 48 0 20 Jun 2019
Efficient data augmentation using graph imputation neural networks Indro Spinelli Simone Scardapane M. Scarpiniti A. Uncini 11 5 0 20 Jun 2019
Data Interpolating Prediction: Alternative Interpretation of Mixup Takuya Shimada Shoichiro Yamaguchi K. Hayashi Sosuke Kobayashi 37 7 0 20 Jun 2019
Prune and Replace NAS Kevin Laube A. Zell 14 13 0 18 Jun 2019
MixUp as Directional Adversarial Training Guillaume P. Archambault Yongyi Mao Hongyu Guo Richong Zhang AAML 14 23 0 17 Jun 2019
Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy Alex Lamb Vikas Verma Kenji Kawaguchi Alexander Matyasko Savya Khosla Arno Solin Yoshua Bengio AAML 30 99 0 16 Jun 2019
Fixing the train-test resolution discrepancy Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou 54 421 0 14 Jun 2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection Changhee Han Yoshiro Kitamura Akira Kudo Akimichi Ichinose L. Rundo Yujiro Furukawa Kazuki Umemoto Yuanzhong Li Hideki Nakayama MedIm 24 116 0 12 Jun 2019
Suppressing Model Overfitting for Image Super-Resolution Networks Ruicheng Feng Jinjin Gu Yu Qiao Chao Dong SupR 21 39 0 11 Jun 2019
Online Object Representations with Contrastive Learning Soren Pirk Mohi Khansari Yunfei Bai Corey Lynch P. Sermanet SSL 28 35 0 10 Jun 2019
Improved Adversarial Robustness via Logit Regularization Methods Cecilia Summers M. Dinneen AAML 36 7 0 10 Jun 2019
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification Benlin Hu Cheng-Hsun Lei Dong Wang Shu Zhang Zhenyu Chen 25 48 0 09 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 33 204 0 06 Jun 2019
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets Devansh Arpit Victor Campos Yoshua Bengio 21 56 0 05 Jun 2019
Semi-supervised semantic segmentation needs strong, varied perturbations Geoff French S. Laine Timo Aila Michal Mackiewicz G. Finlayson 36 29 0 05 Jun 2019
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation Pierrick Coupé Boris Mansencal Michael Clement Rémi Giraud B. D. D. Senneville T. Thong Vincent Lepetit J. V. Manjón 19 17 0 05 Jun 2019
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training Jan Laermann Wojciech Samek Nils Strodthoff OOD 32 15 0 03 Jun 2019
Deeply-supervised Knowledge Synergy Dawei Sun Anbang Yao Aojun Zhou Hao Zhao 12 63 0 03 Jun 2019
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching Hao Wang Qilong Wang Fan Yang Jiexia Ye W. Zuo 16 62 0 02 Jun 2019
The Principle of Unchanged Optimality in Reinforcement Learning Generalization A. Irpan Xingyou Song OffRL 33 7 0 02 Jun 2019