Optimization on Submanifolds of Convolution Kernels in CNNs

22 October 2016

Papers citing "Optimization on Submanifolds of Convolution Kernels in CNNs"

11 / 11 papers shown

Title
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness Yoav Kurtz Noga Bar Raja Giryes 26 0 0 16 Jun 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 28 6 0 16 Feb 2023
Dynamical systems' based neural networks E. Celledoni Davide Murari B. Owren Carola-Bibiane Schönlieb Ferdia Sherry OOD 43 10 0 05 Oct 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 11 4 0 02 Jun 2022
Coordinate descent on the orthogonal group for recurrent neural network training E. Massart V. Abrol 34 10 0 30 Jul 2021
Orthogonal Wasserstein GANs J. Müller Reinhard Klein Michael Weinmann 48 9 0 29 Nov 2019
ABD-Net: Attentive but Diverse Person Re-Identification Tianlong Chen Shaojin Ding Jingyi Xie Ye Yuan Wuyang Chen Yang Yang Zhou Ren Zhangyang Wang 27 479 0 03 Aug 2019
Fine-grained Optimization of Deep Neural Networks Mete Ozay ODL 14 1 0 22 May 2019
Orthogonal Deep Neural Networks Kui Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 34 131 0 15 May 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group Mario Lezcano Casado David Martínez-Rubio 21 193 0 24 Jan 2019
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation Di Xie Jiang Xiong Shiliang Pu 19 181 0 06 Mar 2017