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

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 / 2,006 papers shown
Title
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
49
0
0
24 Mar 2023
On the Efficacy of Generalization Error Prediction Scoring Functions
On the Efficacy of Generalization Error Prediction Scoring Functions
Puja Trivedi
Danai Koutra
Jayaraman J. Thiagarajan
29
0
0
23 Mar 2023
A Closer Look at Model Adaptation using Feature Distortion and
  Simplicity Bias
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
Puja Trivedi
Danai Koutra
Jayaraman J. Thiagarajan
AAML
40
17
0
23 Mar 2023
The effectiveness of MAE pre-pretraining for billion-scale pretraining
The effectiveness of MAE pre-pretraining for billion-scale pretraining
Mannat Singh
Quentin Duval
Kalyan Vasudev Alwala
Haoqi Fan
Vaibhav Aggarwal
...
Piotr Dollár
Christoph Feichtenhofer
Ross B. Girshick
Rohit Girdhar
Ishan Misra
LRM
126
63
0
23 Mar 2023
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical
  Consistency for Efficient Semi-supervised Learning
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Gholamreza Haffari
40
17
0
22 Mar 2023
Correlational Image Modeling for Self-Supervised Visual Pre-Training
Correlational Image Modeling for Self-Supervised Visual Pre-Training
Wei Li
Jiahao Xie
Chen Change Loy
SSL
40
10
0
22 Mar 2023
ViC-MAE: Self-Supervised Representation Learning from Images and Video
  with Contrastive Masked Autoencoders
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders
J. Hernandez
Ruben Villegas
Vicente Ordonez
SSL
43
2
0
21 Mar 2023
Contrastive Alignment of Vision to Language Through Parameter-Efficient
  Transfer Learning
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
Zaid Khan
Yun Fu
VLM
41
12
0
21 Mar 2023
EVA-02: A Visual Representation for Neon Genesis
EVA-02: A Visual Representation for Neon Genesis
Yuxin Fang
Quan-Sen Sun
Xinggang Wang
Tiejun Huang
Xinlong Wang
Yue Cao
VLM
ViT
CLIP
47
263
0
20 Mar 2023
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel
  Storage
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage
Song Park
Sanghyuk Chun
Byeongho Heo
Wonjae Kim
Sangdoo Yun
VLM
ViT
14
8
0
20 Mar 2023
Understanding the Role of the Projector in Knowledge Distillation
Understanding the Role of the Projector in Knowledge Distillation
Roy Miles
K. Mikolajczyk
35
21
0
20 Mar 2023
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Yuhao Chen
X. Tan
Borui Zhao
Zhaowei Chen
Renjie Song
Jiajun Liang
Xuequan Lu
42
32
0
20 Mar 2023
Revisiting Realistic Test-Time Training: Sequential Inference and
  Adaptation by Anchored Clustering Regularized Self-Training
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training
Yongyi Su
Xun Xu
Tianrui Li
Kui Jia
OOD
TTA
36
16
0
20 Mar 2023
Confidence Attention and Generalization Enhanced Distillation for
  Continuous Video Domain Adaptation
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
Xiyu Wang
Yuecong Xu
Jianfei Yang
Xiaoli Li
Zhenghua Chen
TTA
34
0
0
18 Mar 2023
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation
Yuecong Xu
Jianfei Yang
Yunjiao Zhou
Zhenghua Chen
Min-man Wu
Xiaoli Li
37
5
0
18 Mar 2023
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset
  and Baseline Performances
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances
Arun V. Reddy
Ketul Shah
William Paul
Rohita Mocharla
Judy Hoffman
Kapil D. Katyal
Dinesh Manocha
Celso M. de Melo
Ramalingam Chellappa
36
17
0
17 Mar 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
Devavrat Tomar
Guillaume Vray
Behzad Bozorgtabar
Jean-Philippe Thiran
TTA
33
33
0
17 Mar 2023
Dual-path Adaptation from Image to Video Transformers
Dual-path Adaptation from Image to Video Transformers
Jungin Park
Jiyoung Lee
Kwanghoon Sohn
ViT
23
37
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
26
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
48
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
45
1
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
134
490
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
58
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
27
10
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
31
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
35
39
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
28
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
20
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
28
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
26
11
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
64
46
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
23
11
0
08 Mar 2023
FFT-based Dynamic Token Mixer for Vision
FFT-based Dynamic Token Mixer for Vision
Yuki Tatsunami
Masato Taki
50
20
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
27
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
SSL
OOD
65
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
40
789
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
VLM
MLLM
49
21
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
75
28
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
29
39
0
03 Mar 2023
Unproportional mosaicing
Unproportional mosaicing
Vojtech Molek
P. Hurtík
Pavel Vlasánek
D. Adamczyk
29
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
50
62
0
03 Mar 2023
Dropout Reduces Underfitting
Dropout Reduces Underfitting
Zhuang Liu
Zhi-Qin John Xu
Joseph Jin
Zhiqiang Shen
Trevor Darrell
50
36
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
57
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
MoMe
OOD
50
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
42
3
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
OOD
VLM
AAML
40
75
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
22
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
KELM
CLL
37
7
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
27
28
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
OODD
OOD
35
22
0
23 Feb 2023
Previous
123...171819...394041
Next