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. 1909.13719
  4. Cited By
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
GTA: Guided Transfer of Spatial Attention from Object-Centric
  Representations
GTA: Guided Transfer of Spatial Attention from Object-Centric Representations
SeokHyun Seo
Jinwoo Hong
Jungwoo Chae
Kyungyul Kim
Sangheum Hwang
61
0
0
05 Jan 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for
  Federated Domain Generalization
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Yikang Wei
Yahong Han
102
10
0
05 Jan 2024
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN
  Ticket
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
Zhaokun Zhou
Kaiwei Che
Wei Fang
Keyu Tian
Yuesheng Zhu
Shuicheng Yan
Yonghong Tian
Liuliang Yuan
ViT
112
33
0
04 Jan 2024
Analyzing Local Representations of Self-supervised Vision Transformers
Analyzing Local Representations of Self-supervised Vision Transformers
Ani Vanyan
Alvard Barseghyan
Hakob Tamazyan
Vahan Huroyan
Hrant Khachatrian
Martin Danelljan
96
3
0
31 Dec 2023
Learning Vision from Models Rivals Learning Vision from Data
Learning Vision from Models Rivals Learning Vision from Data
Yonglong Tian
Lijie Fan
Kaifeng Chen
Dina Katabi
Dilip Krishnan
Phillip Isola
101
51
0
28 Dec 2023
Universal Pyramid Adversarial Training for Improved ViT Performance
Universal Pyramid Adversarial Training for Improved ViT Performance
Ping Yeh-Chiang
Yipin Zhou
Omid Poursaeed
S. Narayan
Shukla
Tom Goldstein
Ser-Nam Lim
AAMLViT
46
0
0
26 Dec 2023
Revisiting Knowledge Distillation under Distribution Shift
Revisiting Knowledge Distillation under Distribution Shift
Songming Zhang
Ziyu Lyu
Xiaofeng Chen
69
1
0
25 Dec 2023
Debiased Learning for Remote Sensing Data
Debiased Learning for Remote Sensing Data
Chun-Hsiao Yeh
Xudong Wang
Stella X. Yu
Charles Hill
Zackery Steck
Scott Kangas
Aaron A. Reite
64
0
0
24 Dec 2023
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty
  from Pre-trained Models
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
Gianni Franchi
Olivier Laurent
Maxence Leguéry
Andrei Bursuc
Andrea Pilzer
Angela Yao
UQCVBDL
60
6
0
23 Dec 2023
CR-SAM: Curvature Regularized Sharpness-Aware Minimization
CR-SAM: Curvature Regularized Sharpness-Aware Minimization
Tao Wu
Tie Luo
D. C. Wunsch
56
3
0
21 Dec 2023
AdvST: Revisiting Data Augmentations for Single Domain Generalization
AdvST: Revisiting Data Augmentations for Single Domain Generalization
Guangtao Zheng
Mengdi Huai
Aidong Zhang
107
20
0
20 Dec 2023
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
Tonmoy Hossain
Miaomiao Zhang
130
3
0
20 Dec 2023
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection
  for Semi-supervised Fine-Grained Learning
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
Yue Duan
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
75
4
0
19 Dec 2023
Adversarial AutoMixup
Adversarial AutoMixup
Huafeng Qin
Xin Jin
Yun Jiang
M. El-Yacoubi
Xinbo Gao
AAML
115
12
0
19 Dec 2023
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
Haoyuan Wu
Xinyun Zhang
Peng Xu
Peiyu Liao
Xufeng Yao
Bei Yu
VLM
37
0
0
17 Dec 2023
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI
Qinqian Lei
Bo Wang
Robby T. Tan
VLM
84
2
0
17 Dec 2023
LiteVSR: Efficient Visual Speech Recognition by Learning from Speech
  Representations of Unlabeled Data
LiteVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data
Hendrik Laux
Emil Mededovic
Ahmed Hallawa
Lukas Martin
A. Peine
Anke Schmeink
VLM
52
4
0
15 Dec 2023
CLAF: Contrastive Learning with Augmented Features for Imbalanced
  Semi-Supervised Learning
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning
Bowen Tao
Lan Li
Xin-Chun Li
De-Chuan Zhan
64
0
0
15 Dec 2023
SeiT++: Masked Token Modeling Improves Storage-efficient Training
SeiT++: Masked Token Modeling Improves Storage-efficient Training
Min-Seob Lee
Song Park
Byeongho Heo
Dongyoon Han
Hyunjung Shim
MQVLM
61
1
0
15 Dec 2023
Agent Attention: On the Integration of Softmax and Linear Attention
Agent Attention: On the Integration of Softmax and Linear Attention
Dongchen Han
Tianzhu Ye
Yizeng Han
Zhuofan Xia
Siyuan Pan
Pengfei Wan
Shiji Song
Gao Huang
103
86
0
14 Dec 2023
Towards Automatic Data Augmentation for Disordered Speech Recognition
Towards Automatic Data Augmentation for Disordered Speech Recognition
Zengrui Jin
Xurong Xie
Tianzi Wang
Mengzhe Geng
Jiajun Deng
Guinan Li
Shujie Hu
Xunying Liu
51
2
0
14 Dec 2023
Toward Robustness in Multi-label Classification: A Data Augmentation
  Strategy against Imbalance and Noise
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise
Hwanjun Song
Minseok Kim
Jae-Gil Lee
89
11
0
12 Dec 2023
4M: Massively Multimodal Masked Modeling
4M: Massively Multimodal Masked Modeling
David Mizrahi
Roman Bachmann
Ouguzhan Fatih Kar
Teresa Yeo
Mingfei Gao
Afshin Dehghan
Amir Zamir
MLLM
99
74
0
11 Dec 2023
Localization Is All You Evaluate: Data Leakage in Online Mapping
  Datasets and How to Fix It
Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
Adam Lilja
Junsheng Fu
Erik Stenborg
Lars Hammarstrand
74
19
0
11 Dec 2023
RankMatch: A Novel Approach to Semi-Supervised Label Distribution
  Learning Leveraging Inter-label Correlations
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations
Kouzhiqiang Yucheng Xie
Jing Wang
Yuheng Jia
Boyu Shi
Xin Geng
61
1
0
11 Dec 2023
Why "classic" Transformers are shallow and how to make them go deep
Why "classic" Transformers are shallow and how to make them go deep
Yueyao Yu
Yin Zhang
ViT
97
0
0
11 Dec 2023
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on
  Augmented Synthetic Images
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
Prithvijit Chattopadhyay
Bharat Goyal
B. Ecsedi
Viraj Prabhu
Judy Hoffman
92
1
0
11 Dec 2023
Pruning Convolutional Filters via Reinforcement Learning with Entropy
  Minimization
Pruning Convolutional Filters via Reinforcement Learning with Entropy Minimization
Bogdan Musat
Razvan Andonie
85
0
0
08 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
Xiaoyun Xu
Shujian Yu
Jingzheng Wu
S. Picek
AAML
107
0
0
08 Dec 2023
Scaling Laws of Synthetic Images for Model Training ... for Now
Scaling Laws of Synthetic Images for Model Training ... for Now
Lijie Fan
Kaifeng Chen
Dilip Krishnan
Dina Katabi
Phillip Isola
Yonglong Tian
CLIPVLM
82
68
0
07 Dec 2023
Understanding the Detrimental Class-level Effects of Data Augmentation
Understanding the Detrimental Class-level Effects of Data Augmentation
Polina Kirichenko
Mark Ibrahim
Randall Balestriero
Diane Bouchacourt
Ramakrishna Vedantam
Hamed Firooz
Andrew Gordon Wilson
70
12
0
07 Dec 2023
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han
Guanxin Wan
Bing Wang
69
5
0
06 Dec 2023
Complementary Benefits of Contrastive Learning and Self-Training Under
  Distribution Shift
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Saurabh Garg
Amrith Rajagopal Setlur
Zachary Chase Lipton
Sivaraman Balakrishnan
Virginia Smith
Aditi Raghunathan
SSL
74
9
0
06 Dec 2023
Diversified in-domain synthesis with efficient fine-tuning for few-shot
  classification
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
Victor G. Turrisi da Costa
Nicola Dall’Asen
Yiming Wang
N. Sebe
Elisa Ricci
89
5
0
05 Dec 2023
Training on Synthetic Data Beats Real Data in Multimodal Relation
  Extraction
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
Zilin Du
Haoxin Li
Xu Guo
Boyang Li
91
1
0
05 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion
GeNIe: Generative Hard Negative Images Through Diffusion
Soroush Abbasi Koohpayegani
Anuj Singh
K. Navaneet
Hadi Jamali Rad
Hamed Pirsiavash
VLMDiffM
131
4
0
05 Dec 2023
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Arun V. Reddy
William Paul
Corban Rivera
Ketul Shah
Celso M. de Melo
Rama Chellappa
132
4
0
05 Dec 2023
MABViT -- Modified Attention Block Enhances Vision Transformers
MABViT -- Modified Attention Block Enhances Vision Transformers
Mahesh Ramesh
Aswinkumar Ramkumar
39
3
0
03 Dec 2023
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment
  Anything
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Yunyang Xiong
Bala Varadarajan
Lemeng Wu
Xiaoyu Xiang
Fanyi Xiao
...
Dilin Wang
Fei Sun
Forrest N. Iandola
Raghuraman Krishnamoorthi
Vikas Chandra
VLM
107
157
0
01 Dec 2023
Improving Plasticity in Online Continual Learning via Collaborative
  Learning
Improving Plasticity in Online Continual Learning via Collaborative Learning
Maorong Wang
Nicolas Michel
Ling Xiao
Toshihiko Yamasaki
CLL
89
10
0
01 Dec 2023
Improving Normalization with the James-Stein Estimator
Improving Normalization with the James-Stein Estimator
Seyedalireza Khoshsirat
Chandra Kambhamettu
68
5
0
01 Dec 2023
CAST: Cross-Attention in Space and Time for Video Action Recognition
CAST: Cross-Attention in Space and Time for Video Action Recognition
Dongho Lee
Jongseo Lee
Jinwoo Choi
EgoV
110
13
0
30 Nov 2023
Initializing Models with Larger Ones
Initializing Models with Larger Ones
Zhiqiu Xu
Yanjie Chen
Kirill Vishniakov
Yida Yin
Zhiqiang Shen
Trevor Darrell
Lingjie Liu
Zhuang Liu
93
21
0
30 Nov 2023
MLLMs-Augmented Visual-Language Representation Learning
MLLMs-Augmented Visual-Language Representation Learning
Yanqing Liu
Kai Wang
Wenqi Shao
Ping Luo
Yu Qiao
Mike Zheng Shou
Kaipeng Zhang
Yang You
VLM
87
12
0
30 Nov 2023
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for
  360 Room Layout Reconstruction
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction
Cheng Sun
Wei-En Tai
Yu-Lin Shih
Kuan-Wei Chen
Yong-Jing Syu
Kent Selwyn The
Yu-Chiang Frank Wang
Hwann-Tzong Chen
3DV
71
3
0
30 Nov 2023
Overcoming Label Noise for Source-free Unsupervised Video Domain
  Adaptation
Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation
A. Dasgupta
C. V. Jawahar
Karteek Alahari
TTAVLM
95
11
0
30 Nov 2023
Improving Adversarial Transferability via Model Alignment
Improving Adversarial Transferability via Model Alignment
A. Ma
Amir-massoud Farahmand
Yangchen Pan
Philip Torr
Jindong Gu
AAML
68
5
0
30 Nov 2023
Knowledge Transfer from Vision Foundation Models for Efficient Training
  of Small Task-specific Models
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
Raviteja Vemulapalli
Hadi Pouransari
Fartash Faghri
Sachin Mehta
Mehrdad Farajtabar
Mohammad Rastegari
Oncel Tuzel
139
11
0
30 Nov 2023
SODA: Bottleneck Diffusion Models for Representation Learning
SODA: Bottleneck Diffusion Models for Representation Learning
Drew A. Hudson
Daniel Zoran
Mateusz Malinowski
Andrew Kyle Lampinen
Andrew Jaegle
James L. McClelland
Loic Matthey
Felix Hill
Alexander Lerchner
DiffM
101
56
0
29 Nov 2023
Non-Visible Light Data Synthesis and Application: A Case Study for
  Synthetic Aperture Radar Imagery
Non-Visible Light Data Synthesis and Application: A Case Study for Synthetic Aperture Radar Imagery
Zichen Tian
Zhaozheng Chen
Qianru Sun
81
1
0
29 Nov 2023
Previous
123...101112...394041
Next