ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.09024
  4. Cited By
MaxUp: A Simple Way to Improve Generalization of Neural Network Training

MaxUp: A Simple Way to Improve Generalization of Neural Network Training

20 February 2020
Chengyue Gong
Tongzheng Ren
Mao Ye
Qiang Liu
    AAML
ArXivPDFHTML

Papers citing "MaxUp: A Simple Way to Improve Generalization of Neural Network Training"

13 / 13 papers shown
Title
Removing Batch Normalization Boosts Adversarial Training
Removing Batch Normalization Boosts Adversarial Training
Haotao Wang
Aston Zhang
Shuai Zheng
Xingjian Shi
Mu Li
Zhangyang Wang
32
41
0
04 Jul 2022
Multi-Augmentation for Efficient Visual Representation Learning for
  Self-supervised Pre-training
Multi-Augmentation for Efficient Visual Representation Learning for Self-supervised Pre-training
Van-Nhiem Tran
Chi-En Huang
Shenxiu Liu
Kaicheng Yang
Timothy Ko
Yung-Hui Li
SSL
25
0
0
24 May 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
25
26
0
10 May 2022
Indiscriminate Data Poisoning Attacks on Neural Networks
Indiscriminate Data Poisoning Attacks on Neural Networks
Yiwei Lu
Gautam Kamath
Yaoliang Yu
AAML
28
24
0
19 Apr 2022
AugMax: Adversarial Composition of Random Augmentations for Robust
  Training
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang
Chaowei Xiao
Jean Kossaifi
Zhiding Yu
Anima Anandkumar
Zhangyang Wang
19
106
0
26 Oct 2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on
  Medical Image Segmentation
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
Yijun Yang
Shujun Wang
Lei Zhu
Lequan Yu
37
10
0
13 Sep 2021
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural
  Networks
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks
Kiran Karra
C. Ashcraft
Cash Costello
AAML
27
0
0
09 Sep 2021
Vision Transformers with Patch Diversification
Vision Transformers with Patch Diversification
Chengyue Gong
Dilin Wang
Meng Li
Vikas Chandra
Qiang Liu
ViT
37
62
0
26 Apr 2021
Improving Robustness of Learning-based Autonomous Steering Using
  Adversarial Images
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images
Yu-cui Shen
L. Zheng
Manli Shu
Weizi Li
Tom Goldstein
Ming Lin
AAML
34
6
0
26 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
223
512
0
11 Feb 2021
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
Chengyue Gong
Dilin Wang
Meng Li
Vikas Chandra
Qiang Liu
22
113
0
23 Nov 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
57
6,643
0
13 Jun 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
1