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RandAugment: Practical automated data augmentation with a reduced search
  space

RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
    MQ
ArXivPDFHTML

Papers citing "RandAugment: Practical automated data augmentation with a reduced search space"

50 / 1,999 papers shown
Title
Multi-modal Alignment using Representation Codebook
Multi-modal Alignment using Representation Codebook
Jiali Duan
Liqun Chen
Son Tran
Jinyu Yang
Yi Xu
Belinda Zeng
Trishul Chilimbi
33
66
0
28 Feb 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
Teppei Suzuki
ViT
21
48
0
25 Feb 2022
Optimal channel selection with discrete QCQP
Optimal channel selection with discrete QCQP
Yeonwoo Jeong
Deokjae Lee
Gaon An
Changyong Son
Hyun Oh Song
16
1
0
24 Feb 2022
Sample Efficiency of Data Augmentation Consistency Regularization
Sample Efficiency of Data Augmentation Consistency Regularization
Shuo Yang
Yijun Dong
Rachel A. Ward
Inderjit S. Dhillon
Sujay Sanghavi
Qi Lei
AAML
23
17
0
24 Feb 2022
Auto-scaling Vision Transformers without Training
Auto-scaling Vision Transformers without Training
Wuyang Chen
Wei Huang
Xianzhi Du
Xiaodan Song
Zhangyang Wang
Denny Zhou
ViT
32
23
0
24 Feb 2022
Retrieval Augmented Classification for Long-Tail Visual Recognition
Retrieval Augmented Classification for Long-Tail Visual Recognition
Alex Long
Wei Yin
Thalaiyasingam Ajanthan
Vu-Linh Nguyen
Pulak Purkait
Ravi Garg
Alan Blair
Chunhua Shen
Anton Van Den Hengel
21
107
0
22 Feb 2022
Vision-Language Pre-Training with Triple Contrastive Learning
Vision-Language Pre-Training with Triple Contrastive Learning
Jinyu Yang
Jiali Duan
Son N. Tran
Yi Xu
Sampath Chanda
Liqun Chen
Belinda Zeng
Trishul Chilimbi
Junzhou Huang
VLM
29
289
0
21 Feb 2022
General Cyclical Training of Neural Networks
General Cyclical Training of Neural Networks
L. Smith
38
6
0
17 Feb 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning
CLS: Cross Labeling Supervision for Semi-Supervised Learning
Yao Yao
Ju Shen
Jin Xu
Bin Zhong
Li Xiao
29
3
0
17 Feb 2022
Meta Knowledge Distillation
Meta Knowledge Distillation
Jihao Liu
Boxiao Liu
Hongsheng Li
Yu Liu
18
25
0
16 Feb 2022
Debiased Self-Training for Semi-Supervised Learning
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
32
86
0
15 Feb 2022
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
Seokju Cho
Sunghwan Hong
Seung Wook Kim
ViT
27
34
0
14 Feb 2022
How Do Vision Transformers Work?
How Do Vision Transformers Work?
Namuk Park
Songkuk Kim
ViT
47
465
0
14 Feb 2022
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision
  MLPs
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs
Huangjie Zheng
Pengcheng He
Weizhu Chen
Mingyuan Zhou
22
14
0
14 Feb 2022
Distribution augmentation for low-resource expressive text-to-speech
Distribution augmentation for low-resource expressive text-to-speech
Mateusz Lajszczak
Animesh Prasad
Arent van Korlaar
Bajibabu Bollepalli
A. Bonafonte
...
M. Nicolis
Alexis Moinet
Thomas Drugman
Trevor Wood
Elena Sokolova
30
7
0
13 Feb 2022
BViT: Broad Attention based Vision Transformer
BViT: Broad Attention based Vision Transformer
Nannan Li
Yaran Chen
Weifan Li
Zixiang Ding
Dong Zhao
ViT
38
23
0
13 Feb 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep
  Learning
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
NoLa
19
33
0
11 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt
Towards Disentangling Information Paths with Coded ResNeXt
Apostolos Avranas
Marios Kountouris
FAtt
17
1
0
10 Feb 2022
MaskGIT: Masked Generative Image Transformer
MaskGIT: Masked Generative Image Transformer
Huiwen Chang
Han Zhang
Lu Jiang
Ce Liu
William T. Freeman
ViT
40
622
0
08 Feb 2022
Addressing Data Scarcity in Multimodal User State Recognition by
  Combining Semi-Supervised and Supervised Learning
Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning
Hendric Voss
H. Wersing
S. Kopp
21
3
0
08 Feb 2022
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
Yuxin Fang
Li Dong
Hangbo Bao
Xinggang Wang
Furu Wei
17
87
0
07 Feb 2022
Crafting Better Contrastive Views for Siamese Representation Learning
Crafting Better Contrastive Views for Siamese Representation Learning
Xiang Peng
Kai Wang
Zheng Hua Zhu
Mang Wang
Yang You
SSL
28
102
0
07 Feb 2022
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple
  Sequence-to-Sequence Learning Framework
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Peng Wang
An Yang
Rui Men
Junyang Lin
Shuai Bai
Zhikang Li
Jianxin Ma
Chang Zhou
Jingren Zhou
Hongxia Yang
MLLM
ObjD
53
850
0
07 Feb 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low
  Budgets
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen
Avihu Dekel
D. Weinshall
124
116
0
06 Feb 2022
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations
  (CGL)
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL)
Binoy Saha
Sukhendu Das
19
1
0
05 Feb 2022
Deep invariant networks with differentiable augmentation layers
Deep invariant networks with differentiable augmentation layers
Cédric Rommel
Thomas Moreau
Alexandre Gramfort
OOD
27
8
0
04 Feb 2022
Deep Reference Priors: What is the best way to pretrain a model?
Deep Reference Priors: What is the best way to pretrain a model?
Yansong Gao
Rahul Ramesh
Pratik Chaudhari
BDL
15
5
0
01 Feb 2022
Rigidity Preserving Image Transformations and Equivariance in
  Perspective
Rigidity Preserving Image Transformations and Equivariance in Perspective
Lucas Brynte
Georg Bökman
Axel Flinth
Fredrik Kahl
40
3
0
31 Jan 2022
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
Ziyu Wang
Wenhao Jiang
Yiming Zhu
Li Yuan
Yibing Song
Wei Liu
43
44
0
28 Jan 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
38
27
0
28 Jan 2022
Revisiting RCAN: Improved Training for Image Super-Resolution
Revisiting RCAN: Improved Training for Image Super-Resolution
Zudi Lin
Prateek Garg
Atmadeep Banerjee
Salma Abdel Magid
Deqing Sun
Yulun Zhang
Luc Van Gool
D. Wei
Hanspeter Pfister
SupR
53
57
0
27 Jan 2022
One Student Knows All Experts Know: From Sparse to Dense
One Student Knows All Experts Know: From Sparse to Dense
Fuzhao Xue
Xiaoxin He
Xiaozhe Ren
Yuxuan Lou
Yang You
MoMe
MoE
29
20
0
26 Jan 2022
S$^3$NN: Time Step Reduction of Spiking Surrogate Gradients for Training
  Energy Efficient Single-Step Spiking Neural Networks
S3^33NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks
Kazuma Suetake
Shin-ichi Ikegawa
Ryuji Saiin
Yoshihide Sawada
18
4
0
26 Jan 2022
PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy
  Labels
PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels
A. Goel
Yunlong Jiao
Jordan Massiah
NoLa
16
7
0
26 Jan 2022
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
Jiwon Kim
Kwang-seok Ryoo
Gyuseong Lee
Seokju Cho
Junyoung Seo
Daehwan Kim
Hansang Cho
Seung Wook Kim
32
1
0
25 Jan 2022
Convolutional Xformers for Vision
Convolutional Xformers for Vision
Pranav Jeevan
Amit Sethi
ViT
49
12
0
25 Jan 2022
Patches Are All You Need?
Patches Are All You Need?
Asher Trockman
J. Zico Kolter
ViT
225
402
0
24 Jan 2022
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
A. Lengyel
Robert-Jan Bruintjes
Marcos Baptista-Rios
O. Kayhan
Davide Zambrano
Nergis Tomen
J. C. V. Gemert
VLM
30
11
0
21 Jan 2022
Omnivore: A Single Model for Many Visual Modalities
Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar
Mannat Singh
Nikhil Ravi
L. V. D. van der Maaten
Armand Joulin
Ishan Misra
226
225
0
20 Jan 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image
  Encoders
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
Zeyang Sha
Xinlei He
Ning Yu
Michael Backes
Yang Zhang
25
34
0
19 Jan 2022
Contrastive Regularization for Semi-Supervised Learning
Contrastive Regularization for Semi-Supervised Learning
Doyup Lee
Sungwoong Kim
Ildoo Kim
Yeongjae Cheon
Minsu Cho
Wook-Shin Han
SSL
13
40
0
17 Jan 2022
Adversarial Machine Learning Threat Analysis and Remediation in Open
  Radio Access Network (O-RAN)
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)
Edan Habler
Ron Bitton
D. Avraham
D. Mimran
Eitan Klevansky
Oleg Brodt
Heiko Lehmann
Yuval Elovici
A. Shabtai
AAML
39
12
0
16 Jan 2022
Multiview Transformers for Video Recognition
Multiview Transformers for Video Recognition
Shen Yan
Xuehan Xiong
Anurag Arnab
Zhichao Lu
Mi Zhang
Chen Sun
Cordelia Schmid
ViT
26
212
0
12 Jan 2022
Fighting Money Laundering with Statistics and Machine Learning
Fighting Money Laundering with Statistics and Machine Learning
R. Jensen
Alexandros Iosifidis
36
13
0
11 Jan 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
42
4,980
0
10 Jan 2022
Avoiding Overfitting: A Survey on Regularization Methods for
  Convolutional Neural Networks
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
C. F. G. Santos
João Paulo Papa
30
211
0
10 Jan 2022
GhostNets on Heterogeneous Devices via Cheap Operations
GhostNets on Heterogeneous Devices via Cheap Operations
Kai Han
Yunhe Wang
Chang Xu
Jianyuan Guo
Chunjing Xu
Enhua Wu
Qi Tian
19
102
0
10 Jan 2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Xudong Wang
Zhi-Li Wu
Long Lian
Stella X. Yu
36
92
0
05 Jan 2022
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid
  Architecture
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture
Kai Han
Jianyuan Guo
Yehui Tang
Yunhe Wang
ViT
34
22
0
04 Jan 2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous
  Optimization Space
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
Arnav Chavan
Zhiqiang Shen
Zhuang Liu
Zechun Liu
Kwang-Ting Cheng
Eric P. Xing
ViT
33
70
0
03 Jan 2022
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