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VOS: Learning What You Don't Know by Virtual Outlier Synthesis

VOS: Learning What You Don't Know by Virtual Outlier Synthesis

2 February 2022
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
    OODD
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Papers citing "VOS: Learning What You Don't Know by Virtual Outlier Synthesis"

4 / 4 papers shown
Title
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
151
259
0
01 Oct 2021
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
F. Khan
V. Balasubramanian
ObjD
CLL
VLM
141
81
0
17 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
251
4,940
0
05 Dec 2016
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
230
8,157
0
06 Jun 2015
1