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Harnessing Out-Of-Distribution Examples via Augmenting Content and Style

Harnessing Out-Of-Distribution Examples via Augmenting Content and Style

7 July 2022
Zhuo Huang
Xiaobo Xia
Li Shen
Bo Han
Mingming Gong
Chen Gong
Tongliang Liu
    OODD
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Papers citing "Harnessing Out-Of-Distribution Examples via Augmenting Content and Style"

12 / 12 papers shown
Title
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
45
0
0
01 Jul 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
19
0
0
14 Jun 2024
On the Over-Memorization During Natural, Robust and Catastrophic
  Overfitting
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
Runqi Lin
Chaojian Yu
Bo Han
Tongliang Liu
15
7
0
13 Oct 2023
Conditionally Invariant Representation Learning for Disentangling
  Cellular Heterogeneity
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity
H. Aliee
Ferdinand Kapl
Soroor Hediyeh-zadeh
Fabian J. Theis
CML
8
6
0
02 Jul 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case
  Sharpness Minimization
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
Zhuo Huang
Miaoxi Zhu
Xiaobo Xia
Li Shen
Jun Yu
Chen Gong
Bo Han
Bo Du
Tongliang Liu
30
30
0
23 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation
Out-of-distribution Detection with Implicit Outlier Transformation
Qizhou Wang
Junjie Ye
Feng Liu
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
128
45
0
09 Mar 2023
Partial and Asymmetric Contrastive Learning for Out-of-Distribution
  Detection in Long-Tailed Recognition
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
Haotao Wang
Aston Zhang
Yi Zhu
Shuai Zheng
Mu Li
Alexander J. Smola
Zhangyang Wang
OODD
119
48
0
04 Jul 2022
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
158
258
0
19 May 2022
Modeling Adversarial Noise for Adversarial Training
Modeling Adversarial Noise for Adversarial Training
Dawei Zhou
Nannan Wang
Bo Han
Tongliang Liu
AAML
24
15
0
21 Sep 2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for
  Open-Set Semi-Supervised Learning
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Junkai Huang
Chaowei Fang
Weikai Chen
Z. Chai
Xiaolin K. Wei
Pengxu Wei
Liang Lin
Guanbin Li
OODD
30
52
0
12 Aug 2021
Negative Data Augmentation
Negative Data Augmentation
Abhishek Sinha
Kumar Ayush
Jiaming Song
Burak Uzkent
Hongxia Jin
Stefano Ermon
23
68
0
09 Feb 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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