Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines

8 October 2024

Papers citing "Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines"

21 / 21 papers shown

Title
Kernel Regression with Infinite-Width Neural Networks on Millions of Examples Ben Adlam Jaehoon Lee Shreyas Padhy Zachary Nado Jasper Snoek 72 12 0 09 Mar 2023
Guided Deep Kernel Learning Idan Achituve Gal Chechik Ethan Fetaya BDL 57 7 0 19 Feb 2023
Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs Inbar Seroussi Gadi Naveh Zohar Ringel 86 55 0 31 Dec 2021
The Principles of Deep Learning Theory Daniel A. Roberts Sho Yaida Boris Hanin FaML PINN GNN 78 246 0 18 Jun 2021
A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs Gadi Naveh Zohar Ringel SSL MLT 82 33 0 08 Jun 2021
Deep kernel processes Laurence Aitchison Adam X. Yang Sebastian W. Ober BDL 88 42 0 04 Oct 2020
Neural Networks and Quantum Field Theory James Halverson Anindita Maiti Keegan Stoner 78 78 0 19 Aug 2020
Finite Versus Infinite Neural Networks: an Empirical Study Jaehoon Lee S. Schoenholz Jeffrey Pennington Ben Adlam Lechao Xiao Roman Novak Jascha Narain Sohl-Dickstein 80 214 0 31 Jul 2020
Kernel Operations on the GPU, with Autodiff, without Memory Overflows Benjamin Charlier Jean Feydy J. Glaunès François-David Collin G. Durif 68 178 0 27 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 568 42,677 0 03 Dec 2019
Enhanced Convolutional Neural Tangent Kernels Zhiyuan Li Ruosong Wang Dingli Yu S. Du Wei Hu Ruslan Salakhutdinov Sanjeev Arora 68 133 0 03 Nov 2019
Why bigger is not always better: on finite and infinite neural networks Laurence Aitchison 237 54 0 17 Oct 2019
Asymptotics of Wide Networks from Feynman Diagrams Ethan Dyer Guy Gur-Ari 95 115 0 25 Sep 2019
Deep Convolutional Networks as shallow Gaussian Processes Adrià Garriga-Alonso C. Rasmussen Laurence Aitchison BDL UQCV 112 271 0 16 Aug 2018
Improving Generalization Performance by Switching from Adam to SGD N. Keskar R. Socher ODL 105 524 0 20 Dec 2017
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 139 1,100 0 01 Nov 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes Hugh Salimbeni M. Deisenroth BDL GP 96 422 0 24 May 2017
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks Julien Mairal SSL 71 130 0 20 May 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 256 888 0 06 Nov 2015
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 151 1,184 0 02 Nov 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,467 0 24 Jun 2012