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Bounding The Number of Linear Regions in Local Area for Neural Networks
  with ReLU Activations

Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations

14 July 2020
Rui Zhu
Bo Lin
Haixu Tang
    MLT
ArXivPDFHTML

Papers citing "Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations"

3 / 3 papers shown
Title
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
123
36
0
29 Apr 2023
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
111
2,018
0
08 Feb 2019
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen
Chang-rui Liu
Yue Liu
Kimberly Lu
D. Song
AAML
SILM
84
1,822
0
15 Dec 2017
1