mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty Wonyoung Shin Jung-Woo Ha Shengzhe Li Yongwoo Cho Hoyean Song Sunyoung Kwon NoLa 14 9 0 14 Aug 2020
Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition Taeoh Kim Hyeongmin Lee Myeongah Cho Hankook Lee Dong Heon Cho Sangyoun Lee 40 24 0 13 Aug 2020
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness Md. Amirul Islam M. Kowal Konstantinos G. Derpanis Neil D. B. Bruce 21 7 0 13 Aug 2020
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images Zeyu Gao Pargorn Puttapirat Jiangbo Shi Chen Li 11 25 0 12 Aug 2020
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search Yibo Hu Xiang Wu Ran He 18 45 0 12 Aug 2020
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification R. M. S. Bashir Talha Qaiser S. Raza Nasir M. Rajpoot 12 8 0 11 Aug 2020
Neural Complexity Measures Yoonho Lee Juho Lee Sung Ju Hwang Eunho Yang Seungjin Choi 36 8 0 07 Aug 2020
Unsupervised Cross-Domain Singing Voice Conversion Adam Polyak Lior Wolf Yossi Adi Yaniv Taigman 28 44 0 06 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 39 161 0 06 Aug 2020
Self-supervised learning using consistency regularization of spatio-temporal data augmentation for action recognition Jinpeng Wang Yiqi Lin A. J. Ma SSL 23 1 0 05 Aug 2020
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation Y. Hong Li Niu Jianfu Zhang Weijie Zhao Chenghan Fu Liqing Zhang GAN 51 87 0 05 Aug 2020
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization Yu-Ting Chang Qiaosong Wang Wei-Chih Hung Robinson Piramuthu Yi-Hsuan Tsai Ming-Hsuan Yang UQCV WSOL 24 34 0 03 Aug 2020
Finite Versus Infinite Neural Networks: an Empirical Study Jaehoon Lee S. Schoenholz Jeffrey Pennington Ben Adlam Lechao Xiao Roman Novak Jascha Narain Sohl-Dickstein 28 209 0 31 Jul 2020
Trade-offs in Top-k Classification Accuracies on Losses for Deep Learning Azusa Sawada Eiji Kaneko K. Sagi 6 5 0 30 Jul 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli GAN AAML 28 16 0 29 Jul 2020
Reachable Sets of Classifiers and Regression Models: (Non-)Robustness Analysis and Robust Training Anna-Kathrin Kopetzki Stephan Günnemann 43 4 0 28 Jul 2020
Receptive-Field Regularized CNNs for Music Classification and Tagging Khaled Koutini Hamid Eghbalzadeh Verena Haunschmid Paul Primus Shreyan Chowdhury Gerhard Widmer VLM 25 5 0 27 Jul 2020
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud Jaeseok Choi Yeji Song Nojun Kwak 3DPC 40 63 0 27 Jul 2020
Improving Generalization in Meta-learning via Task Augmentation Huaxiu Yao Long-Kai Huang Linjun Zhang Ying Wei Li Tian James Zou Junzhou Huang Z. Li 50 81 0 26 Jul 2020
Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu Deyi Liu Junlin Yang Colin Raffel Marc Niethammer OOD AAML 61 192 0 25 Jul 2020
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation Luyu Yang Yan Wang M. Gao Abhinav Shrivastava Kilian Q. Weinberger Wei-Lun Chao Ser-Nam Lim OOD 20 75 0 24 Jul 2020
Towards Recognizing Unseen Categories in Unseen Domains Massimiliano Mancini Zeynep Akata Elisa Ricci Barbara Caputo VLM 71 100 0 23 Jul 2020
PP-YOLO: An Effective and Efficient Implementation of Object Detector Xiang Long Kaipeng Deng Guanzhong Wang Yan Zhang Qingqing Dang ... Hui Shen Jianguo Ren Shumin Han Errui Ding Shilei Wen ObjD 61 276 0 23 Jul 2020
Reliable Label Bootstrapping for Semi-Supervised Learning Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness SSL 29 5 0 23 Jul 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning Qing Yu Daiki Ikami Go Irie Kiyoharu Aizawa 23 128 0 22 Jul 2020
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup Xingjian Li Haoyi Xiong Haozhe An Chengzhong Xu Dejing Dou 25 8 0 20 Jul 2020
ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget Guillaume Coiffier G. B. Hacene Vincent Gripon 32 2 0 20 Jul 2020
Survey on Deep Learning-based Kuzushiji Recognition K. Ueki Tomoka Kojima 17 4 0 19 Jul 2020
Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation Md Tahmid Hossain S. Teng Ferdous Sohel Guojun Lu 26 10 0 18 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 19 56 0 17 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning Jaehyung Kim Youngbum Hur Sejun Park Eunho Yang Sung Ju Hwang Jinwoo Shin 22 160 0 17 Jul 2020
Uncertainty Quantification and Deep Ensembles R. Rahaman Alexandre Hoang Thiery UQCV 6 145 0 17 Jul 2020
DACS: Domain Adaptation via Cross-domain Mixed Sampling Wilhelm Tranheden Viktor Olsson Juliano Pinto Lennart Svensson 26 352 0 17 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 13 154 0 16 Jul 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning Chia-Wen Kuo Chih-Yao Ma Jia-Bin Huang Z. Kira 42 118 0 16 Jul 2020
Learning perturbation sets for robust machine learning Eric Wong J. Zico Kolter OOD 8 80 0 16 Jul 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 26 965 0 16 Jul 2020
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology Hiroki Tokunaga Brian Kenji Iwana Y. Teramoto Akihiko Yoshizawa Ryoma Bise 31 18 0 16 Jul 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations Hong-Yu Zhou Shuang Yu Cheng Bian Yifan Hu Kai Ma Yefeng Zheng SSL MedIm 32 104 0 15 Jul 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics V. Ramasesh Ethan Dyer M. Raghu CLL 40 174 0 14 Jul 2020
Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors Alireza Abedin Mahsa Ehsanpour Javen Qinfeng Shi Hamid Rezatofighi Damith C. Ranasinghe HAI 6 48 0 14 Jul 2020
Improving Face Recognition by Clustering Unlabeled Faces in the Wild Aruni RoyChowdhury Xiang Yu Kihyuk Sohn Erik Learned-Miller Manmohan Chandraker CVBM 27 19 0 14 Jul 2020
A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues Anirudh Som Sujeong Kim Bladmir Lopez-Prado Svati Dhamija Nonye Alozie Amir Tamrakar 15 2 0 13 Jul 2020
Towards Practical Lipreading with Distilled and Efficient Models Pingchuan Ma Brais Martínez Stavros Petridis Maja Pantic 26 95 0 13 Jul 2020
Active Crowd Counting with Limited Supervision Zhen Zhao Miaojing Shi Xiaoxiao Zhao Li Li 27 47 0 13 Jul 2020
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations Chaoning Zhang Philipp Benz Tooba Imtiaz In-So Kweon SSL AAML 24 118 0 13 Jul 2020
Learning Frame Level Attention for Environmental Sound Classification Zhichao Zhang Shugong Xu Shunqing Zhang Tianhao Qiao Shan Cao 11 3 0 12 Jul 2020
Data-Efficient Ranking Distillation for Image Retrieval Zakaria Laskar Arno Solin VLM 16 4 0 10 Jul 2020
AdaScale SGD: A User-Friendly Algorithm for Distributed Training Tyler B. Johnson Pulkit Agrawal Haijie Gu Carlos Guestrin ODL 30 37 0 09 Jul 2020
Boundary thickness and robustness in learning models Yaoqing Yang Rekha Khanna Yaodong Yu A. Gholami Kurt Keutzer Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney OOD 18 37 0 09 Jul 2020