Orthogonal Convolutional Neural Networks

27 November 2019

Papers citing "Orthogonal Convolutional Neural Networks"

43 / 43 papers shown

Title
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method Andi Han Pierre-Louis Poirion Akiko Takeda 4 0 0 18 May 2025
Approximation theory for 1-Lipschitz ResNets Davide Murari Takashi Furuya Carola-Bibiane Schönlieb 9 0 0 17 May 2025
Cross-Branch Orthogonality for Improved Generalization in Face Deepfake Detection Tharindu Fernando Clinton Fookes Sridha Sridharan Simon Denman 43 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 30 0 0 25 Apr 2025
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing Meiyu Zhong Ravi Tandon 44 3 0 03 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 63 1 0 01 Jul 2024
Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation Haoqi Wang Zhizhong Li Wayne Zhang 20 2 0 03 Aug 2023
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness Yoav Kurtz Noga Bar Raja Giryes 29 0 0 16 Jun 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 37 18 0 11 Mar 2023
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT Yuting Sun Tong Chen Quoc Viet Hung Nguyen Hongzhi Yin 23 12 0 07 Mar 2023
Convolutional Neural Networks as 2-D systems Dennis Gramlich Patricia Pauli C. Scherer Frank Allgöwer C. Ebenbauer 3DV 33 8 0 06 Mar 2023
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features Jiesi Hu Yanwu Yang Xutao Guo Tingxia Ma 12 2 0 28 Feb 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
Koopman-based generalization bound: New aspect for full-rank weights Yuka Hashimoto Sho Sonoda Isao Ishikawa Atsushi Nitanda Taiji Suzuki 11 2 0 12 Feb 2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems Xidong Wu Zhengmian Hu Heng Huang 27 15 0 08 Feb 2023
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images Jinhui Hou Zhiyu Zhu Junhui Hou Hui Liu Huanqiang Zeng Deyu Meng 18 6 0 15 Jan 2023
Learnable Heterogeneous Convolution: Learning both topology and strength Rongzhen Zhao Zhenzhi Wu Qikun Zhang 32 6 0 13 Jan 2023
Orthogonal SVD Covariance Conditioning and Latent Disentanglement Yue Song N. Sebe Wei Wang 29 6 0 11 Dec 2022
Dynamical systems' based neural networks E. Celledoni Davide Murari B. Owren Carola-Bibiane Schönlieb Ferdia Sherry OOD 43 12 0 05 Oct 2022
Efficient CNN with uncorrelated Bag of Features pooling Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj 35 2 0 22 Sep 2022
HAGCN : Network Decentralization Attention Based Heterogeneity-Aware Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting Junkyu Jang Sunghyuk Park 32 1 0 05 Sep 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks Bernd Prach Christoph H. Lampert 32 35 0 05 Aug 2022
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality Yue Song N. Sebe Wei Wang 19 8 0 05 Jul 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 26 22 0 17 Jun 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 11 5 0 02 Jun 2022
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs Fanchen Bu D. Chang 28 6 0 12 May 2022
Riemannian Hamiltonian methods for min-max optimization on manifolds Andi Han Bamdev Mishra Pratik Jawanpuria Pawan Kumar Junbin Gao 35 17 0 25 Apr 2022
projUNN: efficient method for training deep networks with unitary matrices B. Kiani Randall Balestriero Yann LeCun S. Lloyd 43 32 0 10 Mar 2022
O-ViT: Orthogonal Vision Transformer Yanhong Fei Yingjie Liu Xian Wei Mingsong Chen ViT 13 8 0 28 Jan 2022
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps Carlos Rodriguez-Pardo Elena Garces GAN 15 24 0 13 Jan 2022
Systematic Literature Review: Quantum Machine Learning and its applications David Peral García Juan Cruz-Benito Francisco José García-Penalvo 35 120 0 11 Jan 2022
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs David Bonet Antonio Ortega Javier Ruiz-Hidalgo Sarath Shekkizhar GNN 33 7 0 18 Oct 2021
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
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 43 34 0 23 Sep 2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation Yuxiang Wei Yupeng Shi Xiao-Chang Liu Zhilong Ji Yuan Gao Zhongqin Wu W. Zuo 23 55 0 17 Aug 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks E. M. Achour Franccois Malgouyres Franck Mamalet 16 20 0 12 Aug 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 18 22 0 22 May 2021
Fast Jacobian-Vector Product for Deep Networks Randall Balestriero Richard Baraniuk 31 4 0 01 Apr 2021
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy Mengzhu Wang Xiang Zhang L. Lan Wei Wang Huibin Tan Zhigang Luo AI4CE 39 1 0 28 Dec 2020
Physics-Informed Neural State Space Models via Learning and Evolution Elliott Skomski Ján Drgoňa Aaron Tuor PINN AI4CE 27 9 0 26 Nov 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo-wen Li AAML 33 128 0 09 Sep 2020
Deep Isometric Learning for Visual Recognition Haozhi Qi Chong You Xinyu Wang Yi Ma Jitendra Malik VLM 30 53 0 30 Jun 2020
Optimization on Submanifolds of Convolution Kernels in CNNs Mete Ozay Takayuki Okatani 51 46 0 22 Oct 2016