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Out-of-distribution Detection with Implicit Outlier Transformation

Out-of-distribution Detection with Implicit Outlier Transformation

9 March 2023
Qizhou Wang
Junjie Ye
Feng Liu
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
    OODD
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Papers citing "Out-of-distribution Detection with Implicit Outlier Transformation"

13 / 13 papers shown
Title
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
47
1
0
05 Feb 2025
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
68
3
0
18 Sep 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu
Ruiji Yu
Xinwen Cheng
Zhengbao He
Xiaolin Huang
OODD
72
1
0
28 May 2024
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs
  through Efficient Communication Channel
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li
Zhanke Zhou
Jiangchao Yao
Yu Rong
Lu Zhang
Bo Han
37
3
0
02 Nov 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via
  Informative Extrapolation
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Jianing Zhu
Geng Yu
Jiangchao Yao
Tongliang Liu
Gang Niu
Masashi Sugiyama
Bo Han
OODD
34
30
0
21 Oct 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection
  Capability
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
Jianing Zhu
Hengzhuang Li
Jiangchao Yao
Tongliang Liu
Jianliang Xu
Bo Han
OODD
43
12
0
06 Jun 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
32
31
0
23 Mar 2023
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection
Puning Yang
Jian Liang
Jie Cao
Ran He
38
12
0
22 Mar 2023
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
178
220
0
02 Feb 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
879
0
21 Oct 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable
  Expected Calibration Error
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
UQCV
OOD
43
21
0
17 Jun 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
181
687
0
22 Apr 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
1