Convolutional Kernel Networks

12 June 2014

Papers citing "Convolutional Kernel Networks"

50 / 62 papers shown

Title
Infinite-Dimensional Feature Interaction Chenhui Xu Fuxun Yu Maoliang Li Zihao Zheng Zirui Xu Jinjun Xiong Xiang Chen 42 1 0 22 May 2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel Meng-Chieh Lee Lingxiao Zhao Leman Akoglu 23 3 0 08 Feb 2024
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
Dual Convexified Convolutional Neural Networks Site Bai Chuyang Ke Jean Honorio 24 1 0 27 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
Deep Layer-wise Networks Have Closed-Form Weights Chieh-Tsai Wu A. Masoomi Arthur Gretton Jennifer Dy 29 3 0 01 Feb 2022
A Kernel-Expanded Stochastic Neural Network Y. Sun F. Liang 23 5 0 14 Jan 2022
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 27 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 40 2 0 03 Nov 2021
Structured Convolutional Kernel Networks for Airline Crew Scheduling Yassine Yaakoubi F. Soumis Simon Lacoste-Julien AI4TS 26 10 0 25 May 2021
Deep Learning for Instance Retrieval: A Survey Wei Chen Yu Liu Weiping Wang E. Bakker Theodoros Georgiou Paul Fieguth Li Liu M. Lew VLM 11 145 0 27 Jan 2021
Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units S. Nathan Priya Kansal SSeg MedIm 25 7 0 28 Dec 2020
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 23 68 0 28 Nov 2020
Learning Multiscale Convolutional Dictionaries for Image Reconstruction Tianlin Liu Anadi Chaman David Belius Ivan Dokmanić 25 27 0 25 Nov 2020
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 36 240 0 30 Oct 2020
Parametric machines: a fresh approach to architecture search Pietro Vertechi M. Bergomi 27 2 0 06 Jul 2020
On the Similarity between the Laplace and Neural Tangent Kernels Amnon Geifman A. Yadav Yoni Kasten Meirav Galun David Jacobs Ronen Basri 23 89 0 03 Jul 2020
A Neural Network Approach for Online Nonlinear Neyman-Pearson Classification Basarbatu Can Huseyin Ozkan 6 5 0 14 Jun 2020
Modularizing Deep Learning via Pairwise Learning With Kernels Shiyu Duan Shujian Yu José C. Príncipe MoMe 27 20 0 12 May 2020
Deep Randomized Neural Networks Claudio Gallicchio Simone Scardapane OOD 45 61 0 27 Feb 2020
Relation Embedding for Personalised POI Recommendation Xianjing Wang Flora D. Salim Yongli Ren Piotr Koniusz 24 12 0 09 Feb 2020
Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors Lei Wang Piotr Koniusz 24 50 0 14 Jan 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
Deep Kernel Learning via Random Fourier Features Jiaxuan Xie Fanghui Liu Kaijie Wang Xiaolin Huang 19 18 0 07 Oct 2019
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices Xiaolong Ma Fu-Ming Guo Wei Niu Xue Lin Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang CVBM 27 173 0 06 Sep 2019
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification Euijoon Ahn Ashnil Kumar D. Feng M. Fulham Jinman Kim SSL OOD 18 23 0 07 Jun 2019
Interpretable deep Gaussian processes with moments Chi-Ken Lu Scott Cheng-Hsin Yang Xiaoran Hao Patrick Shafto 23 19 0 27 May 2019
Graph Convolutional Gaussian Processes Ian Walker Ben Glocker GNN 22 35 0 14 May 2019
On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang 47 905 0 26 Apr 2019
A Statistical Investigation of Long Memory in Language and Music Alexander Greaves-Tunnell Zaïd Harchaoui AI4TS 27 24 0 08 Apr 2019
Understanding and Improving Kernel Local Descriptors Arun Mukundan Giorgos Tolias Andrei Bursuc Hervé Jégou Ondřej Chum 22 11 0 27 Nov 2018
Scattering Networks for Hybrid Representation Learning Edouard Oyallon Sergey Zagoruyko Gabriel Huang N. Komodakis Simon Lacoste-Julien Matthew Blaschko Eugene Belilovsky 21 84 0 17 Sep 2018
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps Yusuf Tas Piotr Koniusz 3DH 21 29 0 24 Jun 2018
Deep Dictionary Learning: A PARametric NETwork Approach Shahin Mahdizadehaghdam Ashkan Panahi Hamid Krim Liyi Dai 32 63 0 11 Mar 2018
Generalizing the Convolution Operator in Convolutional Neural Networks Kamaledin Ghiasi-Shirazi 21 38 0 14 Jul 2017
Copy-move Forgery Detection based on Convolutional Kernel Network Yaqi Liu Qingxiao Guan Xianfeng Zhao 17 80 0 05 Jul 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 17 1,781 0 30 May 2017
Random Features for Compositional Kernels Amit Daniely Roy Frostig Vineet Gupta Y. Singer CoGe 21 19 0 22 Mar 2017
SGD Learns the Conjugate Kernel Class of the Network Amit Daniely 6 181 0 27 Feb 2017
Supervised Deep Sparse Coding Networks Xiaoxia Sun Nasser M. Nasrabadi T. Tran BDL 27 15 0 29 Jan 2017
Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition A. Cherian Piotr Koniusz Stephen Gould 15 36 0 19 Jan 2017
Learning with Hierarchical Gaussian Kernels Ingo Steinwart P. Thomann Nico Schmid 9 17 0 02 Dec 2016
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models K. Krauth Edwin V. Bonilla Kurt Cutajar Maurizio Filippone GP BDL 16 54 0 18 Oct 2016
Convexified Convolutional Neural Networks Yuchen Zhang Percy Liang Martin J. Wainwright 26 64 0 04 Sep 2016
Local Feature Detectors, Descriptors, and Image Representations: A Survey Yusuke Uchida 32 13 0 28 Jul 2016
CUNet: A Compact Unsupervised Network for Image Classification Le Dong Ling He Gaipeng Kong Qianni Zhang Xiaochun Cao E. Izquierdo SSL 27 24 0 06 Jul 2016
Convolutional Neural Fabrics Shreyas Saxena Jakob Verbeek 24 225 0 08 Jun 2016
ParMAC: distributed optimisation of nested functions, with application to learning binary autoencoders M. A. Carreira-Perpiñán Mehdi Alizadeh 12 8 0 30 May 2016
Embedding based on function approximation for large scale image search Thanh-Toan Do Ngai-man Cheung 25 40 0 23 May 2016