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Informative Dropout for Robust Representation Learning: A Shape-bias
  Perspective

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

10 August 2020
Baifeng Shi
Dinghuai Zhang
Qi Dai
Zhanxing Zhu
Yadong Mu
Jingdong Wang
    OOD
ArXivPDFHTML

Papers citing "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective"

20 / 20 papers shown
Title
DG-DETR: Toward Domain Generalized Detection Transformer
DG-DETR: Toward Domain Generalized Detection Transformer
Seongmin Hwang
Daeyoung Han
Moongu Jeon
ViT
65
0
0
28 Apr 2025
Predicting Gradient is Better: Exploring Self-Supervised Learning for
  SAR ATR with a Joint-Embedding Predictive Architecture
Predicting Gradient is Better: Exploring Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecture
Wei-Jang Li
Yang Wei
Tianpeng Liu
Yuenan Hou
Yuxuan Li
Zhen Liu
Yongxiang Liu
Li Liu
25
18
0
26 Nov 2023
Shape Guided Gradient Voting for Domain Generalization
Shape Guided Gradient Voting for Domain Generalization
Jiaqi Xu
Yuwang Wang
Xuejin Chen
21
0
0
19 Jun 2023
Self-information Domain-based Neural CSI Compression with Feature
  Coupling
Self-information Domain-based Neural CSI Compression with Feature Coupling
Ziqing Yin
Renjie Xie
Wei Xu
Zhaohui Yang
Xiaohu You
18
2
0
30 Apr 2023
Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR
Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR
Wei-Jang Li
Wei Yang
Li Liu
Wenpeng Zhang
Y. Liu
16
24
0
03 Apr 2023
Progressive Random Convolutions for Single Domain Generalization
Progressive Random Convolutions for Single Domain Generalization
Seokeon Choi
Debasmit Das
Sungha Choi
Seunghan Yang
Hyunsin Park
Sungrack Yun
20
37
0
02 Apr 2023
Human Pose Estimation in Extremely Low-Light Conditions
Human Pose Estimation in Extremely Low-Light Conditions
Sohyun Lee
Jaesung Rim
Boseung Jeong
Geon-Yeong Kim
Byungju Woo
Haechan Lee
Sung-Jin Cho
Suha Kwak
VLM
41
22
0
27 Mar 2023
Unveiling the Tapestry: the Interplay of Generalization and Forgetting
  in Continual Learning
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
36
1
0
21 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
FIXED: Frustratingly Easy Domain Generalization with Mixup
Wang Lu
Jindong Wang
Han Yu
Lei Huang
Xiang Zhang
Yiqiang Chen
Xingxu Xie
26
6
0
07 Nov 2022
Learning Less Generalizable Patterns with an Asymmetrically Trained
  Double Classifier for Better Test-Time Adaptation
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation
Thomas Duboudin
Emmanuel Dellandréa
Corentin Abgrall
Gilles Hénaff
Limin Chen
TTA
21
1
0
17 Oct 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Mobarakol Islam
Ben Glocker
OOD
32
6
0
20 Sep 2022
Building Robust Ensembles via Margin Boosting
Building Robust Ensembles via Margin Boosting
Dinghuai Zhang
Hongyang R. Zhang
Aaron Courville
Yoshua Bengio
Pradeep Ravikumar
A. Suggala
AAML
UQCV
40
15
0
07 Jun 2022
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
Sohyun Lee
Taeyoung Son
Suha Kwak
45
72
0
04 Apr 2022
A Systematic Review of Robustness in Deep Learning for Computer Vision:
  Mind the gap?
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?
Nathan G. Drenkow
Numair Sani
I. Shpitser
Mathias Unberath
19
74
0
01 Dec 2021
Pareto Adversarial Robustness: Balancing Spatial Robustness and
  Sensitivity-based Robustness
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness
Ke Sun
Mingjie Li
Zhouchen Lin
AAML
19
2
0
03 Nov 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings
Shape-Biased Domain Generalization via Shock Graph Embeddings
M. Narayanan
Vickram Rajendran
Benjamin Kimia
17
14
0
13 Sep 2021
LIGAR: Lightweight General-purpose Action Recognition
LIGAR: Lightweight General-purpose Action Recognition
Evgeny Izutov
10
3
0
30 Aug 2021
Can Subnetwork Structure be the Key to Out-of-Distribution
  Generalization?
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang
Kartik Ahuja
Yilun Xu
Yisen Wang
Aaron Courville
OOD
20
95
0
05 Jun 2021
Neuron Coverage-Guided Domain Generalization
Neuron Coverage-Guided Domain Generalization
Chris Xing Tian
Haoliang Li
Xiaofei Xie
Yang Liu
Shiqi Wang
23
35
0
27 Feb 2021
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
28
88
0
09 Oct 2020
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