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Gradient-Regularized Out-of-Distribution Detection

Gradient-Regularized Out-of-Distribution Detection

18 April 2024
Sina Sharifi
Taha Entesari
Bardia Safaei
Vishal M. Patel
Mahyar Fazlyab
    OODD
ArXivPDFHTML

Papers citing "Gradient-Regularized Out-of-Distribution Detection"

12 / 12 papers shown
Title
Follow the Rules: Reasoning for Video Anomaly Detection with Large
  Language Models
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models
Yuchen Yang
Kwonjoon Lee
Behzad Dariush
Yinzhi Cao
Shao-Yuan Lo
LRM
34
11
0
14 Jul 2024
Envisioning Outlier Exposure by Large Language Models for
  Out-of-Distribution Detection
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
Chentao Cao
Zhun Zhong
Zhanke Zhou
Yang Liu
Tongliang Liu
Bo Han
OODD
19
10
0
02 Jun 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
Bo Peng
Yadan Luo
Yonggang Zhang
Yixuan Li
Zhen Fang
24
12
0
27 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Haodong Lu
Dong Gong
Shuo Wang
Jason Xue
Lina Yao
Kristen Moore
OODD
47
22
0
05 Feb 2024
Projection Regret: Reducing Background Bias for Novelty Detection via
  Diffusion Models
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
Sungik Choi
Hankook Lee
Honglak Lee
Moontae Lee
DiffM
18
7
0
05 Dec 2023
Out-of-distribution Detection Learning with Unreliable
  Out-of-distribution Sources
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
Haotian Zheng
Qizhou Wang
Zhen Fang
Xiaobo Xia
Feng Liu
Tongliang Liu
Bo Han
138
23
0
06 Nov 2023
Balanced Energy Regularization Loss for Out-of-distribution Detection
Balanced Energy Regularization Loss for Out-of-distribution Detection
Hyunjun Choi
Hawook Jeong
Jin Young Choi
OODD
20
18
0
18 Jun 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
Yong Hyun Ahn
Gyeong-Moon Park
Seong Tae Kim
OODD
97
31
0
24 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation
Out-of-distribution Detection with Implicit Outlier Transformation
Qizhou Wang
Junjie Ye
Feng Liu
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
133
45
0
09 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
174
220
0
02 Feb 2022
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
171
324
0
01 Oct 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
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