Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision

17 March 2018

Papers citing "Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision"

10 / 10 papers shown

Title
Compression-aware Training of Neural Networks using Frank-Wolfe Max Zimmer Christoph Spiegel S. Pokutta 18 9 0 24 May 2022
Neuro-physical dynamic load modeling using differentiable parametric optimization S. Abhyankar Ján Drgoňa Andrew August Elliott Skomski Aaron Tuor 14 2 0 20 Mar 2022
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 118 42 0 29 Oct 2021
Scalable Projection-Free Optimization Mingrui Zhang 12 0 0 07 May 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 45 129 0 23 Feb 2021
Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions Tesi Xiao Krishnakumar Balasubramanian Saeed Ghadimi 13 2 0 15 Jun 2020
The empirical duality gap of constrained statistical learning Luiz F. O. Chamon Santiago Paternain Miguel Calvo-Fullana Alejandro Ribeiro 13 8 0 12 Feb 2020
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions Zaiyi Chen Zhuoning Yuan Jinfeng Yi Bowen Zhou Enhong Chen Tianbao Yang 11 58 0 20 Aug 2018
Constrained-CNN losses for weakly supervised segmentation H. Kervadec Jose Dolz Meng Tang Eric Granger Yuri Boykov Ismail Ben Ayed 27 239 0 12 May 2018
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015