Orthogonal Deep Neural Networks

15 May 2019

Shuai Li

Papers citing "Orthogonal Deep Neural Networks"

21 / 21 papers shown

Title
Cross-Branch Orthogonality for Improved Generalization in Face Deepfake Detection Tharindu Fernando Clinton Fookes S. Sridharan Simon Denman 39 0 0 08 May 2025
Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Natansh Mathur Brian Coyle Nishant Jain Snehal Raj Akshat Tandon Jasper Simon Krauser Rainer Stoessel 19 0 0 25 Apr 2025
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen M. Rosen UQCV OOD 15 2 0 12 May 2023
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold S. Schechtman D. Tiapkin Michael Muehlebach Eric Moulines 27 6 0 16 Mar 2023
Quantum Neural Networks for a Supply Chain Logistics Application Randall Correll Sean J. Weinberg F. Sanches Takanori Ide Takafumi Suzuki GNN 13 9 0 30 Nov 2022
Quantum Vision Transformers El Amine Cherrat Iordanis Kerenidis Natansh Mathur Jonas Landman M. Strahm Yun. Y Li ViT 34 54 0 16 Sep 2022
projUNN: efficient method for training deep networks with unitary matrices B. Kiani Randall Balestriero Yann LeCun S. Lloyd 34 32 0 10 Mar 2022
Systematic Literature Review: Quantum Machine Learning and its applications David Peral García Juan Cruz-Benito Francisco José García-Penalvo 30 119 0 11 Jan 2022
Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values Zhenquan Lin K. Guo Xiaofen Xing Xiangmin Xu ODL 24 1 0 09 Oct 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks E. M. Achour Franccois Malgouyres Franck Mamalet 11 20 0 12 Aug 2021
Coordinate descent on the orthogonal group for recurrent neural network training E. Massart V. Abrol 11 10 0 30 Jul 2021
Learning with Hyperspherical Uniformity Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 24 35 0 02 Mar 2021
Physics-Informed Neural State Space Models via Learning and Evolution Elliott Skomski Ján Drgoňa Aaron Tuor PINN AI4CE 11 9 0 26 Nov 2020
Continual Learning in Low-rank Orthogonal Subspaces Arslan Chaudhry Naeemullah Khan P. Dokania Philip H. S. Torr CLL 33 113 0 22 Oct 2020
Deep Isometric Learning for Visual Recognition Haozhi Qi Chong You X. Wang Yi-An Ma Jitendra Malik VLM 22 53 0 30 Jun 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering Hui Tang Ke Chen K. Jia CML OOD 6 269 0 19 Mar 2020
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks Jiabao Lei K. Jia 6 21 0 16 Feb 2020
Global optimality conditions for deep neural networks Chulhee Yun S. Sra Ali Jadbabaie 118 117 0 08 Jul 2017
Optimization on Submanifolds of Convolution Kernels in CNNs Mete Ozay Takayuki Okatani 43 46 0 22 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,886 0 15 Sep 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,620 0 03 Jul 2012