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McKernel: A Library for Approximate Kernel Expansions in Log-linear Time

McKernel: A Library for Approximate Kernel Expansions in Log-linear Time

27 February 2017
J. Curtò
I. Zarza
Feng Yang
Alex Smola
Fernando de la Torre
Chong Wah Ngo
Luc van Gool
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Papers citing "McKernel: A Library for Approximate Kernel Expansions in Log-linear Time"

4 / 4 papers shown
Title
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier
  Features
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features
Mateus P. Otto
Rafael Izbicki
32
1
0
11 Nov 2022
High-resolution Deep Convolutional Generative Adversarial Networks
High-resolution Deep Convolutional Generative Adversarial Networks
J. Curtò
I. Zarza
Fernando de la Torre
Irwin King
Michael R. Lyu
GAN
27
35
0
17 Nov 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
1