ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.12510
  4. Cited By
Detecting Out-of-Distribution Examples with In-distribution Examples and
  Gram Matrices

Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices

28 December 2019
Chandramouli Shama Sastry
Sageev Oore
    OODD
ArXivPDFHTML

Papers citing "Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices"

15 / 15 papers shown
Title
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised
  Contrastive Learning and Euclidean Distance
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance
J. Haas
OODD
14
0
0
21 Aug 2023
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic
  Images
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images
Zhongzheng Huang
Tao Wang
Yuanzheng Cai
Lingyu Liang
27
0
0
18 Jan 2023
Out-of-distribution Detection with Boundary Aware Learning
Out-of-distribution Detection with Boundary Aware Learning
Sen Pei
Xin Zhang
Bin Fan
Gaofeng Meng
OODD
21
8
0
22 Dec 2021
Statistical Perspectives on Reliability of Artificial Intelligence
  Systems
Statistical Perspectives on Reliability of Artificial Intelligence Systems
Yili Hong
J. Lian
Li Xu
Jie Min
Yueyao Wang
Laura J. Freeman
Xinwei Deng
33
30
0
09 Nov 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
188
879
0
21 Oct 2021
Temperature as Uncertainty in Contrastive Learning
Temperature as Uncertainty in Contrastive Learning
Oliver Zhang
Mike Wu
Jasmine Bayrooti
Noah D. Goodman
UQCV
22
30
0
08 Oct 2021
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
38
16
0
20 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection
On the Impact of Spurious Correlation for Out-of-distribution Detection
Yifei Ming
Hang Yin
Yixuan Li
OODD
156
74
0
12 Sep 2021
Triggering Failures: Out-Of-Distribution detection by learning from
  local adversarial attacks in Semantic Segmentation
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
UQCV
24
48
0
03 Aug 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
21
31
0
09 Jun 2021
Shifting Transformation Learning for Out-of-Distribution Detection
Shifting Transformation Learning for Out-of-Distribution Detection
Sina Mohseni
Arash Vahdat
J. Yadawa
OODD
30
7
0
07 Jun 2021
Out-of-Distribution Detection in Dermatology using Input Perturbation
  and Subset Scanning
Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning
Hannah Kim
G. Tadesse
C. Cintas
Skyler Speakman
Kush R. Varshney
OOD
12
18
0
24 May 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection
SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag
M. Chiang
Prateek Mittal
OODD
31
330
0
22 Mar 2021
Entropic Out-of-Distribution Detection
Entropic Out-of-Distribution Detection
David Macêdo
T. I. Ren
Cleber Zanchettin
Adriano Oliveira
Teresa B Ludermir
OODD
UQCV
25
31
0
15 Aug 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1