Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2111.12950
Cited By
v1
v2
v3
v4
v5 (latest)
Deep Representation Learning with an Information-theoretic Loss
25 November 2021
S. Ando
DRL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Deep Representation Learning with an Information-theoretic Loss"
5 / 5 papers shown
Title
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
284
927
0
21 Oct 2021
Multi-Class Data Description for Out-of-distribution Detection
Dongha Lee
Sehun Yu
Hwanjo Yu
OODD
36
37
0
02 Apr 2021
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
T. Schlegl
Philipp Seeböck
S. Waldstein
U. Schmidt-Erfurth
Georg Langs
MedIm
GAN
108
2,230
0
17 Mar 2017
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
126
1,721
0
01 Dec 2016
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
210
1,584
0
09 Mar 2015
1