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Direct Parameterization of Lipschitz-Bounded Deep Networks

Direct Parameterization of Lipschitz-Bounded Deep Networks

Ruigang Wang
I. Manchester
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Papers citing "Direct Parameterization of Lipschitz-Bounded Deep Networks"

6 / 6 papers shown
Title
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Wei Chen
Guo Ye
Yakun Wang
Zhao Zhang
Libang Zhang
Daxin Wang
Zhiqiang Zhang
Fuzhen Zhuang
81
1
0
17 Jan 2025
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
Nicholas H. Barbara
Ruigang Wang
I. Manchester
22
4
0
19 May 2024
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
21
0
0
31 Mar 2024
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Mahyar Fazlyab
Taha Entesari
Aniket Roy
Ramalingam Chellappa
AAML
11
11
0
29 Sep 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
24
2
0
31 Jul 2023
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla
Surbhi Singla
S. Feizi
AAML
30
52
0
05 Aug 2021