mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 4,988 papers shown

Title
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery Xiaoxiao Li Yangsibo Huang Binghui Peng Zhao Song Keqin Li MIACV 37 1 0 22 Oct 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 26 91 0 22 Oct 2020
How Data Augmentation affects Optimization for Linear Regression Boris Hanin Yi Sun 12 16 0 21 Oct 2020
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 112 117 0 21 Oct 2020
Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions Rafal Pytel O. Kayhan Jan van Gemert 3DPC 29 6 0 20 Oct 2020
Image Obfuscation for Privacy-Preserving Machine Learning Mathilde Raynal R. Achanta Mathias Humbert 43 13 0 20 Oct 2020
ivadomed: A Medical Imaging Deep Learning Toolbox C. Gros A. Lemay Olivier Vincent Lucas Rouhier Anthime Bucquet Joseph Paul Cohen Julien Cohen-Adad LM&MA MedIm 27 15 0 20 Oct 2020
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning Kibok Lee Yian Zhu Kihyuk Sohn Chun-Liang Li Jinwoo Shin Honglak Lee SSL 33 26 0 17 Oct 2020
Cascaded Refinement Network for Point Cloud Completion with Self-supervision Xiaogang Wang M. Ang G. Lee 3DPC 54 33 0 17 Oct 2020
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding Yanru Qu Dinghan Shen Yelong Shen Sandra Sajeev Jiawei Han Weizhu Chen 151 66 0 16 Oct 2020
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers Alex Lamb Anirudh Goyal A. Slowik Michael C. Mozer Philippe Beaudoin Yoshua Bengio 19 3 0 15 Oct 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness Long Zhao Ting Liu Xi Peng Dimitris N. Metaxas OOD AAML 27 165 0 15 Oct 2020
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach Yue Yu Simiao Zuo Haoming Jiang Wendi Ren T. Zhao Chao Zhang AI4MH 18 132 0 15 Oct 2020
Does Data Augmentation Benefit from Split BatchNorms Amil Merchant Barret Zoph E. D. Cubuk 25 9 0 15 Oct 2020
HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network P. Yuan Shufei Lin Cheng Cui Yuning Du Ruoyu Guo Dongliang He Errui Ding Shumin Han 29 43 0 15 Oct 2020
Self-Supervised Domain Adaptation with Consistency Training Liang Xiao J. Xu D. Zhao Z. Wang L. Wang Y. Nie B. Dai 31 14 0 15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 35 64 0 14 Oct 2020
Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit Ben Adlam Jaehoon Lee Lechao Xiao Jeffrey Pennington Jasper Snoek UQCV BDL 31 16 0 14 Oct 2020
Data Augmentation for Meta-Learning Renkun Ni Micah Goldblum Amr Sharaf Kezhi Kong Tom Goldstein 39 74 0 14 Oct 2020
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies Eva Schnider Antal Huck-Horváth G. Rauter A. Zam M. Müller-Gerbl Philippe C. Cattin 19 10 0 14 Oct 2020
Ferrograph image classification Peng Peng Jiugen Wang 19 1 0 14 Oct 2020
LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching Qun Liu Matthew Shreve R. Bala 36 0 0 13 Oct 2020
MixCo: Mix-up Contrastive Learning for Visual Representation Sungnyun Kim Gihun Lee Sangmin Bae Seyoung Yun SSL 112 80 0 13 Oct 2020
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets Shujun Wang Lequan Yu Kang Li Xin Yang Chi-Wing Fu Pheng-Ann Heng 16 131 0 13 Oct 2020
TextHide: Tackling Data Privacy in Language Understanding Tasks Yangsibo Huang Zhao Song Danqi Chen Keqin Li Sanjeev Arora FedML 16 56 0 12 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph Jingkang Yang Weirong Chen Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang NoLa 33 13 0 12 Oct 2020
Improving Low Resource Code-switched ASR using Augmented Code-switched TTS Yash Sharma Basil Abraham Karan Taneja Preethi Jyothi 22 20 0 12 Oct 2020
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers Christoph Kamann Burkhard Güssefeld Robin Hutmacher J. H. Metzen Carsten Rother 16 18 0 12 Oct 2020
Regularizing Neural Networks via Adversarial Model Perturbation Yaowei Zheng Richong Zhang Yongyi Mao AAML 30 95 0 10 Oct 2020
How Does Mixup Help With Robustness and Generalization? Linjun Zhang Zhun Deng Kenji Kawaguchi Amirata Ghorbani James Zou AAML 47 244 0 09 Oct 2020
Locally Linear Region Knowledge Distillation Xiang Deng Zhongfei Zhang Zhang 25 0 0 09 Oct 2020
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 75 761 0 09 Oct 2020
How Out-of-Distribution Data Hurts Semi-Supervised Learning Xujiang Zhao Killamsetty Krishnateja Rishabh K. Iyer Feng Chen 22 3 0 07 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples Sven Gowal Chongli Qin J. Uesato Timothy A. Mann Pushmeet Kohli AAML 22 325 0 07 Oct 2020
High-Capacity Expert Binary Networks Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 27 57 0 07 Oct 2020
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation Moi Hoon Yap Ryo Hachiuma A. Alavi Raphael Brüngel B. Cassidy ... David Gillespie N. Reeves Joseph M Pappachan C. O'Shea E. Frank FedML 23 123 0 07 Oct 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning Yangsibo Huang Zhao Song Keqin Li Sanjeev Arora FedML PICV 25 150 0 06 Oct 2020
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks Lichao Sun Congying Xia Wenpeng Yin Tingting Liang Philip S. Yu Lifang He 16 36 0 05 Oct 2020
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach Hao Cheng Zhaowei Zhu Xingyu Li Yifei Gong Xing Sun Yang Liu NoLa 27 201 0 05 Oct 2020
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup Rongzhi Zhang Yue Yu Chao Zhang VLM 19 93 0 05 Oct 2020
Understanding Catastrophic Overfitting in Single-step Adversarial Training Hoki Kim Woojin Lee Jaewook Lee AAML 16 108 0 05 Oct 2020
Local Additivity Based Data Augmentation for Semi-supervised NER Jiaao Chen Zhenghui Wang Ran Tian Zichao Yang Diyi Yang 19 57 0 04 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 127 1,291 0 03 Oct 2020
WeMix: How to Better Utilize Data Augmentation Yi Tian Xu Asaf Noy Ming Lin Qi Qian Hao Li Rong Jin 34 16 0 03 Oct 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 60 631 0 02 Oct 2020
Effective Regularization Through Loss-Function Metalearning Santiago Gonzalez Risto Miikkulainen 34 5 0 02 Oct 2020
BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision A. Redfern Lijun Zhu Molly K. Newquist MQ 33 12 0 01 Oct 2020
A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes Samiul Alam Tahsin Reasat Asif Sushmit Sadi Mohammad Siddiquee Fuad Rahman Mahady Hasan Ahmed Imtiaz Humayun 20 21 0 01 Oct 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing Keyu Tian Chen Lin Ming Sun Luping Zhou Junjie Yan Wanli Ouyang 26 48 0 30 Sep 2020
Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data Katharina Rombach Gabriel Michau Olga Fink NoLa 19 1 0 30 Sep 2020