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RandAugment: Practical automated data augmentation with a reduced search
  space
v1v2 (latest)

RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
    MQ
ArXiv (abs)PDFHTML

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

50 / 2,036 papers shown
Title
Dual-path Adaptation from Image to Video Transformers
Dual-path Adaptation from Image to Video Transformers
Jungin Park
Jiyoung Lee
Kwanghoon Sohn
ViT
82
38
0
17 Mar 2023
Instance-Conditioned GAN Data Augmentation for Representation Learning
Instance-Conditioned GAN Data Augmentation for Representation Learning
Pietro Astolfi
Arantxa Casanova
Jakob Verbeek
Pascal Vincent
Adriana Romero Soriano
M. Drozdzal
73
6
0
16 Mar 2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness
  with Dataset Reinforcement
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
Fartash Faghri
Hadi Pouransari
Sachin Mehta
Mehrdad Farajtabar
Ali Farhadi
Mohammad Rastegari
Oncel Tuzel
80
9
0
15 Mar 2023
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and
  Consistency
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency
Jae-Kwang Lim
Jongkeun Na
Nojun Kwak
73
2
0
15 Mar 2023
BiFormer: Vision Transformer with Bi-Level Routing Attention
BiFormer: Vision Transformer with Bi-Level Routing Attention
Lei Zhu
Xinjiang Wang
Zhanghan Ke
Wayne Zhang
Rynson W. H. Lau
192
536
0
15 Mar 2023
Exploring Large-scale Unlabeled Faces to Enhance Facial Expression
  Recognition
Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition
Jun-chen Yu
Zhongpeng Cai
Renda Li
Gongpeng Zhao
Guochen Xie
Jichao Zhu
Wangyuan Zhu
CVBM
104
11
0
15 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Zhuliang Yu
Yin Li
Yong Jae Lee
78
13
0
13 Mar 2023
DPPMask: Masked Image Modeling with Determinantal Point Processes
DPPMask: Masked Image Modeling with Determinantal Point Processes
Junde Xu
Zikai Lin
Donghao Zhou
Yao-Cheng Yang
Xiangyun Liao
Bian Wu
Guangyong Chen
Pheng-Ann Heng
67
1
0
13 Mar 2023
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale
  Attention
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale Attention
Wenxiao Wang
Wei Chen
Qibo Qiu
Long Chen
Boxi Wu
Binbin Lin
Xiaofei He
Wei Liu
98
49
0
13 Mar 2023
DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks
  via Layer Balancing
DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing
Mahya Morid Ahmadi
Lilas Alrahis
Ozgur Sinanoglu
Mohamed Bennai
AAML
68
7
0
12 Mar 2023
Improving Masked Autoencoders by Learning Where to Mask
Improving Masked Autoencoders by Learning Where to Mask
Haijia Chen
Wendong Zhang
Yunbo Wang
Xiaokang Yang
SSL
60
20
0
12 Mar 2023
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object
  Detection
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection
Phi Vu Tran
ObjD
76
2
0
10 Mar 2023
Kernel Regression with Infinite-Width Neural Networks on Millions of
  Examples
Kernel Regression with Infinite-Width Neural Networks on Millions of Examples
Ben Adlam
Jaehoon Lee
Shreyas Padhy
Zachary Nado
Jasper Snoek
78
12
0
09 Mar 2023
Masked Image Modeling with Local Multi-Scale Reconstruction
Masked Image Modeling with Local Multi-Scale Reconstruction
Haoqing Wang
Yehui Tang
Yunhe Wang
Jianyuan Guo
Zhiwei Deng
Kai Han
90
52
0
09 Mar 2023
Semi-Supervised 2D Human Pose Estimation Driven by Position
  Inconsistency Pseudo Label Correction Module
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
Linzhi Huang
Yulong Li
Hongbo Tian
Yue Yang
Xiangang Li
Weihong Deng
Jieping Ye
75
11
0
08 Mar 2023
FFT-based Dynamic Token Mixer for Vision
FFT-based Dynamic Token Mixer for Vision
Yuki Tatsunami
Masato Taki
101
23
0
07 Mar 2023
GaussianMLR: Learning Implicit Class Significance via Calibrated
  Multi-Label Ranking
GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking
V. B. Yesilkaynak
Emine Dari
Alican Mertan
Gözde B. Ünal
36
0
0
07 Mar 2023
MAST: Masked Augmentation Subspace Training for Generalizable
  Self-Supervised Priors
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
Chen Huang
Hanlin Goh
Jiatao Gu
J. Susskind
SSLOOD
188
6
0
07 Mar 2023
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
Jierun Chen
Shiu-hong Kao
Hao He
Weipeng Zhuo
Song Wen
Chul-Ho Lee
Shueng-Han Gary Chan
OOD
122
873
0
07 Mar 2023
Prismer: A Vision-Language Model with Multi-Task Experts
Prismer: A Vision-Language Model with Multi-Task Experts
Shikun Liu
Linxi Fan
Edward Johns
Zhiding Yu
Chaowei Xiao
Anima Anandkumar
VLMMLLM
139
25
0
04 Mar 2023
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling
Yuan Liu
Songyang Zhang
Jiacheng Chen
Kai-xiang Chen
Dahua Lin
119
30
0
04 Mar 2023
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves
  Generalization
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
Xingxuan Zhang
Renzhe Xu
Han Yu
Hao Zou
Peng Cui
77
41
0
03 Mar 2023
Unproportional mosaicing
Unproportional mosaicing
Vojtech Molek
P. Hurtík
Pavel Vlasánek
D. Adamczyk
58
1
0
03 Mar 2023
Revisiting Adversarial Training for ImageNet: Architectures, Training
  and Generalization across Threat Models
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
Naman D. Singh
Francesco Croce
Matthias Hein
OOD
121
67
0
03 Mar 2023
Dropout Reduces Underfitting
Dropout Reduces Underfitting
Zhuang Liu
Zhi-Qin John Xu
Joseph Jin
Zhiqiang Shen
Trevor Darrell
160
42
0
02 Mar 2023
RAMM: Retrieval-augmented Biomedical Visual Question Answering with
  Multi-modal Pre-training
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training
Zheng Yuan
Qiao Jin
Chuanqi Tan
Zhengyun Zhao
Hongyi Yuan
Fei Huang
Songfang Huang
102
27
0
01 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of
  Neural Networks
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
Samyak Jain
Sravanti Addepalli
P. Sahu
Priyam Dey
R. Venkatesh Babu
MoMeOOD
118
20
0
28 Feb 2023
Improving Model Generalization by On-manifold Adversarial Augmentation
  in the Frequency Domain
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain
Chang-rui Liu
Wenzhao Xiang
Yuan He
H. Xue
Shibao Zheng
Hang Su
83
4
0
28 Feb 2023
A Comprehensive Study on Robustness of Image Classification Models:
  Benchmarking and Rethinking
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
Chang-Shu Liu
Yinpeng Dong
Wenzhao Xiang
Xiaohu Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OODVLMAAML
115
85
0
28 Feb 2023
Analyzing Populations of Neural Networks via Dynamical Model Embedding
Analyzing Populations of Neural Networks via Dynamical Model Embedding
Jordan S. Cotler
Kai Sheng Tai
Felipe Hernández
Blake Elias
David Sussillo
100
4
0
27 Feb 2023
Knowledge Restore and Transfer for Multi-label Class-Incremental
  Learning
Knowledge Restore and Transfer for Multi-label Class-Incremental Learning
Songlin Dong
Haoyu Luo
Yuhang He
Xing Wei
Yihong Gong
KELMCLL
111
8
0
26 Feb 2023
Inducing Neural Collapse in Deep Long-tailed Learning
Inducing Neural Collapse in Deep Long-tailed Learning
Xuantong Liu
Jianfeng Zhang
Tianyang Hu
He Cao
Lujia Pan
Yuan Yao
73
31
0
24 Feb 2023
Out-of-Domain Robustness via Targeted Augmentations
Out-of-Domain Robustness via Targeted Augmentations
Irena Gao
Shiori Sagawa
Pang Wei Koh
Tatsunori Hashimoto
Percy Liang
OODDOOD
75
23
0
23 Feb 2023
Steerable Equivariant Representation Learning
Steerable Equivariant Representation Learning
Sangnie Bhardwaj
Willie McClinton
Tongzhou Wang
Guillaume Lajoie
Chen Sun
Phillip Isola
Dilip Krishnan
OODLLMSV
69
5
0
22 Feb 2023
What Are Effective Labels for Augmented Data? Improving Calibration and
  Robustness with AutoLabel
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel
Yao Qin
Xuezhi Wang
Balaji Lakshminarayanan
Ed H. Chi
Alex Beutel
UQCV
69
5
0
22 Feb 2023
Hyena Hierarchy: Towards Larger Convolutional Language Models
Hyena Hierarchy: Towards Larger Convolutional Language Models
Michael Poli
Stefano Massaroli
Eric Q. Nguyen
Daniel Y. Fu
Tri Dao
S. Baccus
Yoshua Bengio
Stefano Ermon
Christopher Ré
VLM
174
314
0
21 Feb 2023
Seasoning Model Soups for Robustness to Adversarial and Natural
  Distribution Shifts
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
Francesco Croce
Sylvestre-Alvise Rebuffi
Evan Shelhamer
Sven Gowal
AAML
79
18
0
20 Feb 2023
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable
  Prompting
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting
Benjamin Bowman
Alessandro Achille
Luca Zancato
Matthew Trager
Pramuditha Perera
Giovanni Paolini
Stefano Soatto
VPVLM
91
19
0
15 Feb 2023
TFormer: A Transmission-Friendly ViT Model for IoT Devices
TFormer: A Transmission-Friendly ViT Model for IoT Devices
Zhichao Lu
Chuntao Ding
Felix Juefei Xu
Vishnu Boddeti
Shangguang Wang
Yun Yang
75
17
0
15 Feb 2023
A Modern Look at the Relationship between Sharpness and Generalization
A Modern Look at the Relationship between Sharpness and Generalization
Maksym Andriushchenko
Francesco Croce
Maximilian Müller
Matthias Hein
Nicolas Flammarion
3DH
135
63
0
14 Feb 2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Chuanglu Zhu
Kebin Liu
Wenqi Tang
Ke Mei
Jiaqi Zou
Tiejun Huang
150
1
0
14 Feb 2023
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
Zhu Wang
Sourav Medya
Sathya Ravi
VLM
90
0
0
11 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition
Sumyeong Ahn
Jongwoo Ko
Se-Young Yun
140
31
0
10 Feb 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing
Long-Tailed Partial Label Learning via Dynamic Rebalancing
Feng Hong
Jiangchao Yao
Zhihan Zhou
Ya Zhang
Yanfeng Wang
71
27
0
10 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang
Tianyu Pang
Chao Du
Min Lin
Weiwei Liu
Shuicheng Yan
DiffM
106
228
0
09 Feb 2023
Effective Data Augmentation With Diffusion Models
Effective Data Augmentation With Diffusion Models
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
DiffMVLM
114
257
0
07 Feb 2023
Spatial Functa: Scaling Functa to ImageNet Classification and Generation
Spatial Functa: Scaling Functa to ImageNet Classification and Generation
Matthias Bauer
Emilien Dupont
Andy Brock
Dan Rosenbaum
Jonathan Richard Schwarz
Hyunjik Kim
DiffM
128
41
0
06 Feb 2023
AIM: Adapting Image Models for Efficient Video Action Recognition
AIM: Adapting Image Models for Efficient Video Action Recognition
Taojiannan Yang
Yi Zhu
Yusheng Xie
Aston Zhang
Chong Chen
Mu Li
ViT
146
157
0
06 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
RLSbench: Domain Adaptation Under Relaxed Label Shift
Saurabh Garg
Nick Erickson
James Sharpnack
Alexander J. Smola
Sivaraman Balakrishnan
Zachary Chase Lipton
VLM
104
33
0
06 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated
  Datasets
Leaving Reality to Imagination: Robust Classification via Generated Datasets
Hritik Bansal
Aditya Grover
OOD
117
94
0
05 Feb 2023
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