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Mixture Outlier Exposure: Towards Out-of-Distribution Detection in
  Fine-grained Environments

Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments

7 June 2021
Jingyang Zhang
Nathan Inkawhich
Randolph Linderman
Yiran Chen
H. Li
    OODD
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Papers citing "Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments"

11 / 11 papers shown
Title
Graph Synthetic Out-of-Distribution Exposure with Large Language Models
Graph Synthetic Out-of-Distribution Exposure with Large Language Models
Haoyan Xu
Zhengtao Yao
Z. Wang
Zhan Cheng
X. Sharon Hu
Mengyuan Li
Y. Zhao
OODD
52
0
0
29 Apr 2025
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
40
1
0
05 Feb 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODD
AAML
135
0
0
20 Jan 2025
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
54
1
0
16 Nov 2024
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
66
3
0
18 Sep 2024
ExCeL : Combined Extreme and Collective Logit Information for Enhancing
  Out-of-Distribution Detection
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection
Naveen Karunanayake
Suranga Seneviratne
Sanjay Chawla
OODD
23
1
0
23 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
29
30
0
21 Oct 2023
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection
Puning Yang
Jian Liang
Jie Cao
R. He
34
12
0
22 Mar 2023
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
875
0
21 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in
  the Wild
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang
Andrew Geng
Yixuan Li
189
328
0
01 Oct 2021
Bridging In- and Out-of-distribution Samples for Their Better
  Discriminability
Bridging In- and Out-of-distribution Samples for Their Better Discriminability
Engkarat Techapanurak
Anh-Chuong Dang
Takayuki Okatani
OODD
20
3
0
07 Jan 2021
1