mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 4,988 papers shown

Title
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence Aditya Golatkar Alessandro Achille Stefano Soatto 30 95 0 30 May 2019
Meta Dropout: Learning to Perturb Features for Generalization Haebeom Lee Taewook Nam Eunho Yang Sung Ju Hwang OOD 22 3 0 30 May 2019
Probabilistic Decoupling of Labels in Classification Jeppe Nørregaard Lars Kai Hansen BDL 22 0 0 29 May 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 22 513 0 28 May 2019
Image Deformation Meta-Networks for One-Shot Learning Z. Chen Yanwei Fu Yu-xiong Wang Lin Ma Wei Liu M. Hebert 15 217 0 28 May 2019
Derivative Manipulation for General Example Weighting Xinshao Wang Elyor Kodirov Yang Hua N. Robertson NoLa 13 1 0 27 May 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks S. Thulasidasan Gopinath Chennupati J. Bilmes Tanmoy Bhattacharya S. Michalak UQCV 34 529 0 27 May 2019
Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning Shuai Zheng James T. Kwok ODL 27 5 0 23 May 2019
Multi-Sample Dropout for Accelerated Training and Better Generalization H. Inoue 19 68 0 23 May 2019
Augmenting Data with Mixup for Sentence Classification: An Empirical Study Hongyu Guo Yongyi Mao Richong Zhang 20 234 0 22 May 2019
Semi-Supervised Learning by Augmented Distribution Alignment Qin Wang Wen Li Luc Van Gool 26 68 0 20 May 2019
DARC: Differentiable ARchitecture Compression Shashank Singh A. Khetan Zohar Karnin AI4CE 35 7 0 20 May 2019
Online Hyper-parameter Learning for Auto-Augmentation Strategy Chen Lin Minghao Guo Chuming Li Yuan Xin Wei Wu Dahua Lin Wanli Ouyang Junjie Yan ODL 21 83 0 17 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 394 4,694 0 13 May 2019
Multi-class Novelty Detection Using Mix-up Technique Supritam Bhattacharjee Devraj Mandal Soma Biswas 25 14 0 11 May 2019
Virtual Mixup Training for Unsupervised Domain Adaptation Xudong Mao Yun Ma Zhenguo Yang Yangbin Chen Qing Li 38 52 0 10 May 2019
EENA: Efficient Evolution of Neural Architecture Hui Zhu Zhulin An Chuanguang Yang Kaiqiang Xu Erhu Zhao Yongjun Xu 3DV 31 39 0 10 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 63 2,992 0 06 May 2019
Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domain Warit Sirichotedumrong Takahiro Maekawa Yuma Kinoshita Hitoshi Kiya 30 88 0 06 May 2019
A Survey on Neural Architecture Search Martin Wistuba Ambrish Rawat Tejaswini Pedapati AI4CE 17 258 0 04 May 2019
Billion-scale semi-supervised learning for image classification I. Z. Yalniz Hervé Jégou Kan Chen Manohar Paluri D. Mahajan SSL 36 458 0 02 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 35 590 0 01 May 2019
Introducing Graph Smoothness Loss for Training Deep Learning Architectures Myriam Bontonou Carlos Lassance G. B. Hacene Vincent Gripon Jian Tang Antonio Ortega 14 18 0 01 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 61 2,292 0 29 Apr 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 44 603 0 25 Apr 2019
Inner-Imaging Networks: Put Lenses into Convolutional Structure Yang Hu Guihua Wen Mingnan Luo Dan Dai Wenming Cao Zhiwen Yu Wendy Hall 17 2 0 22 Apr 2019
Stochastic Region Pooling: Make Attention More Expressive Mingnan Luo Guihua Wen Yang Hu Dan Dai Yingxue Xu 31 6 0 22 Apr 2019
Good-Enough Compositional Data Augmentation Jacob Andreas 30 230 0 21 Apr 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 46 266 0 16 Apr 2019
Unsupervised Singing Voice Conversion Eliya Nachmani Lior Wolf 21 55 0 13 Apr 2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution Yunpeng Chen Haoqi Fan Bing Xu Zhicheng Yan Yannis Kalantidis Marcus Rohrbach Shuicheng Yan Jiashi Feng 53 552 0 10 Apr 2019
CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang Gabriel Bender Quoc V. Le Jiquan Ngiam MedIm 3DV 31 622 0 10 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task Kenta Hama Takashi Matsubara K. Uehara Jianfei Cai BDL UQCV 24 6 0 09 Apr 2019
Few-Shot Learning via Saliency-guided Hallucination of Samples Hongguang Zhang Jing Zhang Piotr Koniusz 30 202 0 06 Apr 2019
A Comprehensive Overhaul of Feature Distillation Byeongho Heo Jeesoo Kim Sangdoo Yun Hyojin Park Nojun Kwak J. Choi 21 569 0 03 Apr 2019
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets Maria Perez-Ortiz Peter Tiño Rafał K. Mantiuk C. Hervás‐Martínez 27 16 0 24 Mar 2019
Convolution with even-sized kernels and symmetric padding Shuang Wu Guanrui Wang Pei Tang F. Chen Luping Shi 22 68 0 20 Mar 2019
Manifold Mixup improves text recognition with CTC loss Bastien Moysset Ronaldo O. Messina 27 3 0 11 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 39 757 0 09 Mar 2019
On Adversarial Mixup Resynthesis Christopher Beckham S. Honari Vikas Verma Alex Lamb F. Ghadiri R. Devon Hjelm Yoshua Bengio C. Pal AAML 20 12 0 07 Mar 2019
Safeguarded Dynamic Label Regression for Generalized Noisy Supervision Jiangchao Yao Ya Zhang Ivor W. Tsang Jun-wei Sun NoLa 22 1 0 06 Mar 2019
Complement Objective Training Hao-Yun Chen Pei-Hsin Wang Chun-Hao Liu Shih-Chieh Chang Jia Pan Yutian Chen Wei Wei Da-Cheng Juan AAML 25 46 0 04 Mar 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation Yizhe Zhang Lin Yang Hao Zheng Peixian Liang Colleen A. Mangold R. Loreto David P. Hughes Danny Chen MedIm 27 13 0 28 Feb 2019
Single-frame Regularization for Temporally Stable CNNs Gabriel Eilertsen Rafał K. Mantiuk Jonas Unger 19 43 0 27 Feb 2019
LaSO: Label-Set Operations networks for multi-label few-shot learning Amit Alfassy Leonid Karlinsky Amit Aides J. Shtok Sivan Harary Rogerio Feris Raja Giryes A. Bronstein 51 117 0 26 Feb 2019
MultiGrain: a unified image embedding for classes and instances Maxim Berman Hervé Jégou Andrea Vedaldi Iasonas Kokkinos Matthijs Douze 15 110 0 14 Feb 2019
Bag of Freebies for Training Object Detection Neural Networks Zhi-Li Zhang Tong He Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li VLM ObjD 20 188 0 11 Feb 2019
Semi-Supervised and Task-Driven Data Augmentation K. Chaitanya Neerav Karani Christian F. Baumgartner O. Donati Anton S. Becker E. Konukoglu MedIm 18 142 0 11 Feb 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 24 22 0 06 Feb 2019
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity Yingzhen Yang Jiahui Yu Xingjian Li Jun Huan Thomas S. Huang AI4CE 25 6 0 03 Feb 2019