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Improved Regularization of Convolutional Neural Networks with Cutout

Improved Regularization of Convolutional Neural Networks with Cutout

15 August 2017
Terrance Devries
Graham W. Taylor
ArXivPDFHTML

Papers citing "Improved Regularization of Convolutional Neural Networks with Cutout"

50 / 798 papers shown
Title
Regularizing Neural Networks via Adversarial Model Perturbation
Regularizing Neural Networks via Adversarial Model Perturbation
Yaowei Zheng
Richong Zhang
Yongyi Mao
AAML
30
95
0
10 Oct 2020
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image
  Classification
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
Oren Nuriel
Sagie Benaim
Lior Wolf
30
88
0
09 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded
  Adversarial Examples
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
22
325
0
07 Oct 2020
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive
  Evaluation
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation
Moi Hoon Yap
Ryo Hachiuma
A. Alavi
Raphael Brüngel
B. Cassidy
...
David Gillespie
N. Reeves
Joseph M Pappachan
C. O'Shea
E. Frank
FedML
23
123
0
07 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
127
1,286
0
03 Oct 2020
Effective Regularization Through Loss-Function Metalearning
Effective Regularization Through Loss-Function Metalearning
Santiago Gonzalez
Risto Miikkulainen
34
5
0
02 Oct 2020
A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes
A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes
Samiul Alam
Tahsin Reasat
Asif Sushmit
Sadi Mohammad Siddiquee
Fuad Rahman
Mahady Hasan
Ahmed Imtiaz Humayun
20
21
0
01 Oct 2020
Asymmetric Loss For Multi-Label Classification
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch
T. Ridnik
Nadav Zamir
Asaf Noy
Itamar Friedman
M. Protter
Lihi Zelnik-Manor
60
525
0
29 Sep 2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei
Hannan Lu
Radu Timofte
Liang Lin
W. Zuo
...
Jun-Ho Choi
Jong-Seok Lee
Feras Almasri
T. Vandamme
O. Debeir
SupR
52
41
0
25 Sep 2020
GraphCrop: Subgraph Cropping for Graph Classification
GraphCrop: Subgraph Cropping for Graph Classification
Yiwei Wang
Wei Wang
Keli Zhang
Yujun Cai
Bryan Hooi
25
57
0
22 Sep 2020
PP-OCR: A Practical Ultra Lightweight OCR System
PP-OCR: A Practical Ultra Lightweight OCR System
Yuning Du
Chenxia Li
Ruoyu Guo
Xiaoting Yin
Weiwei Liu
...
Yifan Bai
Zilin Yu
Yehua Yang
Qingqing Dang
Hongya Wang
36
178
0
21 Sep 2020
IDA: Improved Data Augmentation Applied to Salient Object Detection
IDA: Improved Data Augmentation Applied to Salient Object Detection
Daniel V. Ruiz
Bruno A. Krinski
E. Todt
27
7
0
18 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet
  without Tricks
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
Zhiqiang Shen
Marios Savvides
33
63
0
17 Sep 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Jang-Hyun Kim
Wonho Choo
Hyun Oh Song
AAML
30
382
0
15 Sep 2020
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Hao Tan
Ran Cheng
Shihua Huang
Cheng He
Changxiao Qiu
Fan Yang
Ping Luo
OOD
14
40
0
14 Sep 2020
VarifocalNet: An IoU-aware Dense Object Detector
VarifocalNet: An IoU-aware Dense Object Detector
Haoyang Zhang
Ying Wang
Feras Dayoub
Niko Sünderhauf
ObjD
21
666
0
31 Aug 2020
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment
  in COVID-19 Pandemic
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic
Mahdi Rezaei
Mohsen Azarmi
22
154
0
26 Aug 2020
Learning Connectivity of Neural Networks from a Topological Perspective
Learning Connectivity of Neural Networks from a Topological Perspective
Kun Yuan
Quanquan Li
Jing Shao
Junjie Yan
22
3
0
19 Aug 2020
Incomplete Descriptor Mining with Elastic Loss for Person
  Re-Identification
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification
Hongchen Tan
Yuhao Bian
Huasheng Wang
Xiuping Liu
Baocai Yin
27
70
0
10 Aug 2020
Anti-Bandit Neural Architecture Search for Model Defense
Anti-Bandit Neural Architecture Search for Model Defense
Hanlin Chen
Baochang Zhang
Shenjun Xue
Xuan Gong
Hong Liu
Rongrong Ji
David Doermann
AAML
22
34
0
03 Aug 2020
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud
Jaeseok Choi
Yeji Song
Nojun Kwak
3DPC
37
63
0
27 Jul 2020
Regularizing Deep Networks with Semantic Data Augmentation
Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang
Gao Huang
Shiji Song
Xuran Pan
Yitong Xia
Cheng Wu
21
155
0
21 Jul 2020
Robust Image Classification Using A Low-Pass Activation Function and DCT
  Augmentation
Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation
Md Tahmid Hossain
S. Teng
Ferdous Sohel
Guojun Lu
23
10
0
18 Jul 2020
Temporal Complementary Learning for Video Person Re-Identification
Temporal Complementary Learning for Video Person Re-Identification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
29
109
0
18 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
Zhiqiang Tang
Yunhe Gao
Leonid Karlinsky
P. Sattigeri
Rogerio Feris
Dimitris N. Metaxas
19
56
0
17 Jul 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
45
592
0
17 Jul 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
Chia-Wen Kuo
Chih-Yao Ma
Jia-Bin Huang
Z. Kira
39
118
0
16 Jul 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally
  Shifted Instances
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack
Sangwoo Mo
Jongheon Jeong
Jinwoo Shin
OODD
11
589
0
16 Jul 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By
  Comparing Image Representations
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations
Hong-Yu Zhou
Shuang Yu
Cheng Bian
Yifan Hu
Kai Ma
Yefeng Zheng
SSL
MedIm
29
104
0
15 Jul 2020
An Asymptotically Optimal Multi-Armed Bandit Algorithm and
  Hyperparameter Optimization
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization
Yimin Huang
Yujun Li
Hanrong Ye
Zhenguo Li
Zhihua Zhang
32
7
0
11 Jul 2020
Boundary thickness and robustness in learning models
Boundary thickness and robustness in learning models
Yaoqing Yang
Rekha Khanna
Yaodong Yu
A. Gholami
Kurt Keutzer
Joseph E. Gonzalez
Kannan Ramchandran
Michael W. Mahoney
OOD
18
37
0
09 Jul 2020
Remix: Rebalanced Mixup
Remix: Rebalanced Mixup
Hsin-Ping Chou
Shih-Chieh Chang
Jia-Yu Pan
Wei Wei
Da-Cheng Juan
38
232
0
08 Jul 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with
  Curriculum Search
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Yong Guo
Yaofo Chen
Yin Zheng
P. Zhao
Jian Chen
Junzhou Huang
Mingkui Tan
32
66
0
07 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
50
537
0
01 Jul 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement
  Learning
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning
Roberta Raileanu
M. Goldstein
Denis Yarats
Ilya Kostrikov
Rob Fergus
OffRL
22
109
0
23 Jun 2020
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage
  Trees
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees
Ahnjae Shin
Do Yoon Kim
Joo Seong Jeong
Byung-Gon Chun
28
4
0
22 Jun 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot
  Classification
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
Carlos Medina
A. Devos
Matthias Grossglauser
SSL
26
50
0
19 Jun 2020
Boosting Active Learning for Speech Recognition with Noisy
  Pseudo-labeled Samples
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
9
2
0
19 Jun 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
59
600
0
18 Jun 2020
Cyclic Differentiable Architecture Search
Cyclic Differentiable Architecture Search
Hongyuan Yu
Houwen Peng
Yan Huang
Jianlong Fu
Hao Du
Liang Wang
Haibin Ling
3DPC
25
48
0
18 Jun 2020
Fine-Tuning DARTS for Image Classification
Fine-Tuning DARTS for Image Classification
M. Tanveer
Muhammad Umar Karim Khan
C. Kyung
31
49
0
16 Jun 2020
Meta Approach to Data Augmentation Optimization
Meta Approach to Data Augmentation Optimization
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
32
34
0
14 Jun 2020
Entropic gradient descent algorithms and wide flat minima
Entropic gradient descent algorithms and wide flat minima
Fabrizio Pittorino
C. Lucibello
Christoph Feinauer
Gabriele Perugini
Carlo Baldassi
Elizaveta Demyanenko
R. Zecchina
ODL
MLT
40
33
0
14 Jun 2020
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features
Pu Li
Xiangyang Li
Xiang Long
16
20
0
14 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for
  Convolutional Neural Networks
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
Mojtaba Faramarzi
Mohammad Amini
Akilesh Badrinaaraayanan
Vikas Verma
A. Chandar
AAML
36
31
0
14 Jun 2020
Few-shot Neural Architecture Search
Few-shot Neural Architecture Search
Yiyang Zhao
Linnan Wang
Yuandong Tian
Rodrigo Fonseca
Tian Guo
30
90
0
11 Jun 2020
Data Augmentation for Graph Neural Networks
Data Augmentation for Graph Neural Networks
Tong Zhao
Yozen Liu
Leonardo Neves
Oliver J. Woodford
Meng Jiang
Neil Shah
GNN
35
407
0
11 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
81
1,859
0
11 Jun 2020
The Penalty Imposed by Ablated Data Augmentation
The Penalty Imposed by Ablated Data Augmentation
Frederick Liu
A. Najmi
Mukund Sundararajan
31
6
0
08 Jun 2020
MMA Regularization: Decorrelating Weights of Neural Networks by
  Maximizing the Minimal Angles
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
Zhennan Wang
Canqun Xiang
Wenbin Zou
Chen Xu
17
19
0
06 Jun 2020
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