End-to-End Kernel Learning with Supervised Convolutional Kernel Networks

20 May 2016

Papers citing "End-to-End Kernel Learning with Supervised Convolutional Kernel Networks"

23 / 23 papers shown

Title
Descriptive Kernel Convolution Network with Improved Random Walk Kernel Meng-Chieh Lee Lingxiao Zhao Leman Akoglu 23 3 0 08 Feb 2024
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications Gianfranco Cortés Yue Yu R. Chen Melissa S. Armstrong David E Vaillancourt B. Vemuri 42 1 0 26 May 2023
COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data Jonas C. Ditz Bernhard Reuter Nícolas Pfeifer 29 1 0 02 Dec 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam Ben Glocker OOD 35 6 0 20 Sep 2022
Generalized Reference Kernel for One-class Classification Jenni Raitoharju Alexandros Iosifidis 21 2 0 01 May 2022
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels Amnon Geifman Meirav Galun David Jacobs Ronen Basri 30 13 0 17 Mar 2022
On the Benefits of Large Learning Rates for Kernel Methods Gaspard Beugnot Julien Mairal Alessandro Rudi 13 11 0 28 Feb 2022
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 22 8 0 22 Nov 2021
Learning with convolution and pooling operations in kernel methods Theodor Misiakiewicz Song Mei MLT 15 29 0 16 Nov 2021
Convolutional Motif Kernel Networks Jonas C. Ditz Bernhard Reuter N. Pfeifer FAtt 23 2 0 03 Nov 2021
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios Alessandro Favero Francesco Cagnetta M. Wyart 30 31 0 16 Jun 2021
Structured Convolutional Kernel Networks for Airline Crew Scheduling Yassine Yaakoubi F. Soumis Simon Lacoste-Julien AI4TS 23 10 0 25 May 2021
Learning Multiscale Convolutional Dictionaries for Image Reconstruction Tianlin Liu Anadi Chaman David Belius Ivan Dokmanić 25 27 0 25 Nov 2020
Parametric machines: a fresh approach to architecture search Pietro Vertechi M. Bergomi 25 2 0 06 Jul 2020
Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data Corinne Jones Vincent Roulet Zaïd Harchaoui 36 1 0 30 Dec 2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods Kevin J Liang Guoyin Wang Yitong Li Ricardo Henao Lawrence Carin 30 2 0 09 Oct 2019
Deep Kernel Learning via Random Fourier Features Jiaxuan Xie Fanghui Liu Kaijie Wang Xiaolin Huang 9 18 0 07 Oct 2019
A Kernel Perspective for Regularizing Deep Neural Networks A. Bietti Grégoire Mialon Dexiong Chen Julien Mairal 11 15 0 30 Sep 2018
Generalizing the Convolution Operator in Convolutional Neural Networks Kamaledin Ghiasi-Shirazi 21 38 0 14 Jul 2017
Random Features for Compositional Kernels Amit Daniely Roy Frostig Vineet Gupta Y. Singer CoGe 16 19 0 22 Mar 2017
Supervised Deep Sparse Coding Networks Xiaoxia Sun Nasser M. Nasrabadi T. Tran BDL 19 15 0 29 Jan 2017
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure A. Bietti Julien Mairal 44 36 0 04 Oct 2016
An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration Hongzhou Lin Julien Mairal Zaïd Harchaoui 28 13 0 04 Oct 2016