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Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection

4 February 2024
Chao Chen
Zhihang Fu
Kai-Chun Liu
Ze Chen
Mingyuan Tao
Jieping Ye
    OODD
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Papers citing "Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection"

8 / 8 papers shown
Title
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
55
2
0
18 Sep 2024
Average of Pruning: Improving Performance and Stability of
  Out-of-Distribution Detection
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
Zhen Cheng
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
MoMe
OODD
35
11
0
02 Mar 2023
Boosting Out-of-distribution Detection with Typical Features
Boosting Out-of-distribution Detection with Typical Features
Yao Zhu
YueFeng Chen
Chuanlong Xie
Xiaodan Li
Rong Zhang
Hui Xue
Xiang Tian
Bolun Zheng
Yao-wu Chen
OODD
76
49
0
09 Oct 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
152
146
0
20 Sep 2022
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
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
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
173
324
0
01 Oct 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
136
679
0
31 Jan 2021
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