Regularisation of Neural Networks by Enforcing Lipschitz Continuity

12 April 2018

Papers citing "Regularisation of Neural Networks by Enforcing Lipschitz Continuity"

45 / 95 papers shown

Title
FRuDA: Framework for Distributed Adversarial Domain Adaptation Shaoduo Gan Akhil Mathur Anton Isopoussu F. Kawsar N. Bianchi-Berthouze Nicholas D. Lane 19 12 0 26 Dec 2021
Stable Long-Term Recurrent Video Super-Resolution Benjamin Naoto Chiche Arnaud Woiselle J. Frontera-Pons Jean-Luc Starck SupR 30 6 0 16 Dec 2021
Uncertainty Aware Proposal Segmentation for Unknown Object Detection Yimeng Li Jana Kosecka UQCV 36 19 0 25 Nov 2021
Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific Andrew Jesson P. Manshausen A. Douglas D. Watson‐Parris Y. Gal P. Stier AI4Cl 27 6 0 28 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 33 70 0 25 Oct 2021
Towards Robust Waveform-Based Acoustic Models Dino Oglic Zoran Cvetkovic Peter Sollich Steve Renals Bin Yu OOD AAML 23 1 0 16 Oct 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 46 100 0 07 Oct 2021
An automatic differentiation system for the age of differential privacy Dmitrii Usynin Alexander Ziller Moritz Knolle Andrew Trask Kritika Prakash Daniel Rueckert Georgios Kaissis 30 3 0 22 Sep 2021
Multiple shooting for training neural differential equations on time series Evren Mert Turan J. Jäschke AI4TS 40 23 0 14 Sep 2021
Robust Stability of Neural Network-controlled Nonlinear Systems with Parametric Variability Soumyabrata Talukder Ratnesh Kumar 13 7 0 13 Sep 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks E. M. Achour Franccois Malgouyres Franck Mamalet 16 20 0 12 Aug 2021
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis Martin Pawelczyk Chirag Agarwal Shalmali Joshi Sohini Upadhyay Himabindu Lakkaraju AAML 32 51 0 18 Jun 2021
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods Chirag Agarwal Marinka Zitnik Himabindu Lakkaraju 27 51 0 16 Jun 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective Florin Gogianu Tudor Berariu Mihaela Rosca Claudia Clopath L. Buşoniu Razvan Pascanu 24 52 0 11 May 2021
Analytical bounds on the local Lipschitz constants of ReLU networks Trevor Avant K. Morgansen FAtt 21 12 0 29 Apr 2021
Quaternion Generative Adversarial Networks Eleonora Grassucci Edoardo Cicero Danilo Comminiello 27 33 0 19 Apr 2021
Neural Network Robustness as a Verification Property: A Principled Case Study Marco Casadio Ekaterina Komendantskaya M. Daggitt Wen Kokke Guy Katz Guy Amir Idan Refaeli OOD AAML 16 39 0 03 Apr 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung Howard Heaton Qiuwei Li Daniel McKenzie Stanley Osher W. Yin FedML 35 84 0 23 Mar 2021
CLIP: Cheap Lipschitz Training of Neural Networks Leon Bungert René Raab Tim Roith Leo Schwinn Daniel Tenbrinck 32 32 0 23 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 481 0 08 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 27 156 0 25 Feb 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip Torr Y. Gal UD UQCV PER BDL 29 145 0 23 Feb 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training Vasu Singla Sahil Singla David Jacobs S. Feizi AAML 32 45 0 15 Feb 2021
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 35 48 0 14 Dec 2020
A Geometric Perspective on Self-Supervised Policy Adaptation Cristian Bodnar Karol Hausman Gabriel Dulac-Arnold Rico Jonschkowski SSL 44 5 0 14 Nov 2020
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms J. Hertrich Sebastian Neumayer Gabriele Steidl 19 57 0 04 Nov 2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization P. Gyawali S. Ghimire Linwei Wang AAML 25 7 0 23 Sep 2020
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modeling Timothy Rumbell Jaimit Parikh J. Kozloski V. Gurev 8 5 0 17 Sep 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 37 437 0 17 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows Emiel Hoogeboom Victor Garcia Satorras Jakub M. Tomczak Max Welling 25 28 0 02 Jun 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update Zechun Liu Xinming Zhang Zhiqiang Shen Zhe Li Yichen Wei Kwang-Ting Cheng Jian Sun 47 19 0 18 May 2020
Training robust neural networks using Lipschitz bounds Patricia Pauli Anne Koch J. Berberich Paul Kohler Frank Allgöwer 19 156 0 06 May 2020
Fantastic Four: Differentiable Bounds on Singular Values of Convolution Layers Sahil Singla S. Feizi AAML 27 7 0 22 Nov 2019
On the estimation of the Wasserstein distance in generative models Thomas Pinetz Daniel Soukup Thomas Pock GAN 19 9 0 02 Oct 2019
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks Sekitoshi Kanai Yasutoshi Ida Yasuhiro Fujiwara Masanori Yamada S. Adachi AAML 15 1 0 19 Sep 2019
Unconstrained Monotonic Neural Networks Antoine Wehenkel Gilles Louppe TPM 31 146 0 14 Aug 2019
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Alex Cloninger H. Esmaeilzadeh MQ 26 8 0 14 Jun 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers Ernest K. Ryu Jialin Liu Sicheng Wang Xiaohan Chen Zhangyang Wang W. Yin AI4CE 22 347 0 14 May 2019
Block Coordinate Regularization by Denoising Yu Sun Jiaming Liu Ulugbek S. Kamilov 30 82 0 13 May 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 17 1,992 0 08 Feb 2019
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 25 618 0 02 Nov 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis M. A. Nabian Hadi Meidani PINN AI4CE 21 57 0 11 Oct 2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss Chris Finlay Adam M. Oberman B. Abbasi 24 34 0 01 Oct 2018
The Singular Values of Convolutional Layers Hanie Sedghi Vineet Gupta Philip M. Long FAtt 36 200 0 26 May 2018
Regularization via Mass Transportation Soroosh Shafieezadeh-Abadeh Daniel Kuhn Peyman Mohajerin Esfahani OOD 27 203 0 27 Oct 2017