Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

30 April 2015

Papers citing "Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?"

23 / 23 papers shown

Title
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 89 18 0 04 Mar 2024
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 37 59 0 29 Sep 2023
Neural Collapse: A Review on Modelling Principles and Generalization Vignesh Kothapalli 19 70 0 08 Jun 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo-Lu Zhao Lingjuan Lyu DD 20 114 0 01 Jun 2022
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach Evangelos Galaris Gianluca Fabiani I. Gallos Ioannis G. Kevrekidis Constantinos Siettos AI4CE 19 40 0 31 Jan 2022
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification Qi-Shi Shi Ponnuthurai Nagaratnam Suganthan Rakesh Katuwal 4 22 0 15 Jan 2022
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation C. Ouyang C. L. P. Chen Surui Li Zeju Li C. Qin Wenjia Bai Daniel Rueckert OOD 14 155 0 24 Nov 2021
A Johnson--Lindenstrauss Framework for Randomly Initialized CNNs Ido Nachum Jan Hkazla Michael C. Gastpar Anatoly Khina 19 0 0 03 Nov 2021
Efficient and Private Federated Learning with Partially Trainable Networks Hakim Sidahmed Zheng Xu Ankush Garg Yuan Cao Mingqing Chen FedML 47 13 0 06 Oct 2021
Deep Divergence-Based Approach to Clustering Michael C. Kampffmeyer Sigurd Løkse F. Bianchi L. Livi Arnt-Børre Salberg Robert Jenssen 12 61 0 13 Feb 2019
On the security relevance of weights in deep learning Kathrin Grosse T. A. Trost Marius Mosbach Michael Backes Dietrich Klakow AAML 19 6 0 08 Feb 2019
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 22 1,311 0 11 Dec 2018
Measuring and regularizing networks in function space Ari S. Benjamin David Rolnick Konrad Paul Kording 11 137 0 21 May 2018
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds Daniele Grattarola Daniele Zambon C. Alippi L. Livi GNN 27 40 0 16 May 2018
Instance Optimal Decoding and the Restricted Isometry Property Nicolas Keriven Rémi Gribonval 11 8 0 27 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 14 51 0 02 Feb 2018
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security Hao Dong Chao Wu Zhen Wei Yike Guo 24 30 0 20 Nov 2017
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding V. Papyan Yaniv Romano Michael Elad 48 284 0 27 Jul 2016
Sketching for Large-Scale Learning of Mixture Models Nicolas Keriven Anthony Bourrier Rémi Gribonval Patrick Pérez 15 75 0 09 Jun 2016
Robust Large Margin Deep Neural Networks Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 13 307 0 26 May 2016
On the Stability of Deep Networks Raja Giryes Guillermo Sapiro A. Bronstein 29 14 0 18 Dec 2014
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 181 2,947 0 15 Dec 2014
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 175 1,184 0 30 Nov 2014