mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 38 320 0 19 Mar 2021
Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection Yan Luo Chongyang Zhang Muming Zhao Hao Zhou Jun Sun 27 0 0 18 Mar 2021
Consistent Posterior Distributions under Vessel-Mixing: A Regularization for Cross-Domain Retinal Artery/Vein Classification Chenxin Li Yunlong Zhang Zhehan Liang Wenao Ma Yue Huang Xinghao Ding 19 20 0 16 Mar 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi Lu Hou Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma 73 19 0 16 Mar 2021
Revisiting Dynamic Convolution via Matrix Decomposition Yunsheng Li Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Ye Yu Lu Yuan Zicheng Liu Mei Chen Nuno Vasconcelos 37 68 0 15 Mar 2021
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers Piotr Teterwak Chiyuan Zhang Dilip Krishnan Michael C. Mozer 41 9 0 15 Mar 2021
Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video M. Mohebbian K. Wahid Anh-Tuan Dinh P. Babyn 19 0 0 15 Mar 2021
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation Mingi Ji Seungjae Shin Seunghyun Hwang Gibeom Park Il-Chul Moon 16 121 0 15 Mar 2021
XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition Zi-qiang Zhang Yan Song Ming Wu Xin Fang Lirong Dai SSL 36 21 0 15 Mar 2021
Semi-supervised learning by selective training with pseudo labels via confidence estimation Masato Ishii 32 2 0 15 Mar 2021
Principled Ultrasound Data Augmentation for Classification of Standard Planes L. Hin Yuan Lee Gao J. Alison 41 15 0 14 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 42 419 0 14 Mar 2021
Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction Hao-Chiang Shao Hsin-Chieh Wang Weng-Tai Su Chia-Wen Lin NoLa 38 6 0 13 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Nayeon Lee Jonathon Shlens Barret Zoph 36 299 0 13 Mar 2021
Uncertainty-guided Model Generalization to Unseen Domains Fengchun Qiao Xi Peng OOD UQCV 36 59 0 12 Mar 2021
Fast and Accurate Model Scaling Piotr Dollár Mannat Singh Ross B. Girshick 30 98 0 11 Mar 2021
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation Daisuke Niizumi Daiki Takeuchi Yasunori Ohishi Noboru Harada K. Kashino SSL 48 175 0 11 Mar 2021
Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-supervised Sound Event Detection Janek Ebbers Reinhold Haeb-Umbach 6 13 0 11 Mar 2021
Fair Mixup: Fairness via Interpolation Ching-Yao Chuang Youssef Mroueh 26 138 0 11 Mar 2021
Self-Supervised Motion Retargeting with Safety Guarantee Sungjoon Choi M. Song Hyemin Ahn Joohyung Kim 6 11 0 11 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 33 107 0 10 Mar 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks Alexandre Ramé Rémy Sun Matthieu Cord UQCV 42 60 0 10 Mar 2021
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks P. Shyam S. S. Sengar Kuk-Jin Yoon Kyung-soo Kim DiffM 23 13 0 10 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation Denis A. Gudovskiy Luca Rigazio Shun Ishizaka Kazuki Kozuka Sotaro Tsukizawa NoLa 38 21 0 10 Mar 2021
Towards Strengthening Deep Learning-based Side Channel Attacks with Mixup Zhimin Luo Mengce Zheng Ping Wang Minhui Jin Jiajia Zhang Honggang Hu AAML 46 12 0 10 Mar 2021
Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network Tianshu Xie Xuan Cheng Minghui Liu Jiali Deng Xiaomin Wang Ming Liu 25 29 0 09 Mar 2021
Data augmentation by morphological mixup for solving Raven's Progressive Matrices Wentao He Jianfeng Ren Ruibin Bai 32 2 0 09 Mar 2021
Improving Transformation-based Defenses against Adversarial Examples with First-order Perturbations Haimin Zhang Min Xu AAML 21 0 0 08 Mar 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment F. Cordeiro Ragav Sachdeva Vasileios Belagiannis Ian Reid G. Carneiro NoLa 28 77 0 06 Mar 2021
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges Robert-Jan Bruintjes A. Lengyel Marcos Baptista-Rios O. Kayhan Jan van Gemert VLM 25 11 0 05 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 56 174 0 05 Mar 2021
Vicinal and categorical domain adaptation Hui Tang Kui Jia OOD 36 14 0 05 Mar 2021
Unified Robust Training for Graph NeuralNetworks against Label Noise Yayong Li Jie Yin Ling-Hao Chen NoLa 40 29 0 05 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 131 993 0 03 Mar 2021
On the effectiveness of adversarial training against common corruptions Klim Kireev Maksym Andriushchenko Nicolas Flammarion AAML 24 103 0 03 Mar 2021
Augmentation Strategies for Learning with Noisy Labels Kento Nishi Yi Ding Alex Rich Tobias Höllerer NoLa 29 116 0 03 Mar 2021
DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations Eitan Borgnia Jonas Geiping Valeriia Cherepanova Liam H. Fowl Arjun Gupta Amin Ghiasi Furong Huang Micah Goldblum Tom Goldstein 52 46 0 02 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 41 272 0 02 Mar 2021
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation Yukun Su Rui Sun Guosheng Lin Qingyao Wu 47 117 0 02 Mar 2021
Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation Yu Cao Liang Ding Zhiliang Tian Meng Fang 34 14 0 02 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 79 1,186 0 02 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 32 3 0 01 Mar 2021
Federated Learning without Revealing the Decision Boundaries Roozbeh Yousefzadeh FedML 11 0 0 01 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 44 571 0 28 Feb 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Eric Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 43 22 0 28 Feb 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 24 60 0 28 Feb 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 332 1,539 0 27 Feb 2021
What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning Jonas Geiping Liam H. Fowl Gowthami Somepalli Micah Goldblum Michael Moeller Tom Goldstein TDI AAML SILM 30 40 0 26 Feb 2021
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures Luyan Liu Zhiwei Wen Songwei Liu Hong-Yu Zhou Hongwei Zhu Weicheng Xie Linlin Shen Kai Ma Yefeng Zheng 29 7 0 26 Feb 2021
Robust Pollen Imagery Classification with Generative Modeling and Mixup Training J. Murkute 32 2 0 25 Feb 2021