mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Milking CowMask for Semi-Supervised Image Classification Geoff French Avital Oliver Tim Salimans 27 51 0 26 Mar 2020
Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels Xianbin Lv Dongxian Wu Shutao Xia NoLa 9 2 0 26 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 47 120 0 26 Mar 2020
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary Sherif Abdelkarim Aniket Agarwal Panos Achlioptas Jun Chen Jiaji Huang Boyang Albert Li Kenneth Church Mohamed Elhoseiny VLM 37 18 0 25 Mar 2020
Training Binary Neural Networks with Real-to-Binary Convolutions Brais Martínez Jing Yang Adrian Bulat Georgios Tzimiropoulos MQ 17 226 0 25 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 26 62 0 25 Mar 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives Duo Li Qifeng Chen 153 19 0 24 Mar 2020
Robust and On-the-fly Dataset Denoising for Image Classification Jiaming Song Lunjia Hu Michael Auli Yann N. Dauphin Tengyu Ma NoLa OOD 24 13 0 24 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 659 0 23 Mar 2020
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation Lie Ju Xin Wang Quan-Gen Zhou Hu Zhu Mehrtash Harandi Paul Bonnington Tom Drummond Zongyuan Ge MedIm 11 7 0 23 Mar 2020
Dynamic ReLU Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Lu Yuan Zicheng Liu 177 163 0 22 Mar 2020
On Calibration of Mixup Training for Deep Neural Networks Juan Maroñas D. Ramos-Castro Roberto Paredes Palacios UQCV 33 6 0 22 Mar 2020
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels Zan Shen Jiang Qian Bojin Zhuang Shaojun Wang Jing Xiao 28 5 0 22 Mar 2020
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology Xinyu Liu Xiren Miao Hao Jiang Jia Chen 25 11 0 22 Mar 2020
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging T. Bdair Benedikt Wiestler Nassir Navab Shadi Albarqouni 24 10 0 20 Mar 2020
Acoustic Scene Classification with Squeeze-Excitation Residual Networks Javier Naranjo-Alcazar Sergi Perez-Castanos P. Zuccarello M. Cobos 21 0 0 20 Mar 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection Dong Wang Yuan Zhang Kexin Zhang Liwei Wang 81 120 0 20 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training Yassine Ouali C´eline Hudelot Myriam Tami 35 709 0 19 Mar 2020
Ensemble learning in CNN augmented with fully connected subnetworks Daiki Hirata Norikazu Takahashi OOD 22 25 0 19 Mar 2020
Semi-supervised Contrastive Learning Using Partial Label Information Colin B. Hansen V. Nath Diego A. Mesa Yuankai Huo Bennett A. Landman Thomas A. Lasko SSL 22 0 0 17 Mar 2020
A comprehensive study on the prediction reliability of graph neural networks for virtual screening Soojung Yang K. Lee Seongok Ryu 24 7 0 17 Mar 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks Amir M. Rahimi Amirreza Shaban Ching-An Cheng Richard I. Hartley Byron Boots UQCV 16 68 0 15 Mar 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma Pinar E. Donmez Enming Luo Yan Liu I. Z. Yalniz NoLa 65 33 0 15 Mar 2020
On the benefits of defining vicinal distributions in latent space Puneet Mangla Vedant Singh Shreyas Jayant Havaldar V. Balasubramanian AAML 11 3 0 14 Mar 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning Zhiqiang Shen Zechun Liu Zhuang Liu Marios Savvides Trevor Darrell Eric P. Xing OCL SSL 32 103 0 11 Mar 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 21 98 0 10 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 4 192 0 09 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Y. Yoo AAML OOD 345 53 0 09 Mar 2020
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 35 107 0 08 Mar 2020
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie Tero Karras Animesh Garg Shoubhik Debhath Anjul Patney Ankit B. Patel Anima Anandkumar DRL 89 72 0 06 Mar 2020
Does label smoothing mitigate label noise? Michal Lukasik Srinadh Bhojanapalli A. Menon Surinder Kumar NoLa 40 346 0 05 Mar 2020
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning ByungSoo Ko Geonmo Gu 85 53 0 05 Mar 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation Jian Liang Yunbo Wang Dapeng Hu Ran He Jiashi Feng 171 105 0 05 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 163 113 0 05 Mar 2020
Mixup Regularization for Region Proposal based Object Detectors S. Bouabid V. Delaitre ObjD 20 5 0 04 Mar 2020
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs Huy Hoang Nguyen S. Saarakkala Matthew Blaschko A. Tiulpin 35 37 0 04 Mar 2020
A New Dataset, Poisson GAN and AquaNet for Underwater Object Grabbing Chongwei Liu Zhihui Wang Shijie Wang Tao Tang Yulong Tao Caifei Yang Haojie Li Xing Liu Xin-Yue Fan 21 49 0 03 Mar 2020
Iterative Averaging in the Quest for Best Test Error Diego Granziol Xingchen Wan Samuel Albanie Stephen J. Roberts 19 3 0 02 Mar 2020
Learning Cross-domain Generalizable Features by Representation Disentanglement Qingjie Meng Daniel Rueckert Bernhard Kainz OOD DRL 19 12 0 29 Feb 2020
Introduction to deep learning Lihi Shiloh-Perl Raja Giryes 27 0 0 29 Feb 2020
Do CNNs Encode Data Augmentations? Eddie Q. Yan Yanping Huang OOD 20 5 0 29 Feb 2020
Quantile Regularization: Towards Implicit Calibration of Regression Models Saiteja Utpala Piyush Rai UQCV 20 7 0 28 Feb 2020
A U-Net Based Discriminator for Generative Adversarial Networks Edgar Schönfeld Bernt Schiele Anna Khoreva GAN 32 292 0 28 Feb 2020
Membership Inference Attacks and Defenses in Classification Models Jiacheng Li Ninghui Li Bruno Ribeiro 25 34 0 27 Feb 2020
FMix: Enhancing Mixed Sample Data Augmentation Ethan Harris Antonia Marcu Matthew Painter M. Niranjan Adam Prugel-Bennett Jonathon S. Hare AAML 29 26 0 27 Feb 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 47 788 0 26 Feb 2020
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective Yilun Jin Xiguang Wei Yang Liu Qiang Yang FedML 22 63 0 26 Feb 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 23 134 0 25 Feb 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 24 145 0 25 Feb 2020
Self-Adaptive Training: beyond Empirical Risk Minimization Lang Huang Chaoning Zhang Hongyang R. Zhang NoLa 29 198 0 24 Feb 2020