Dimensionality reduction to maximize prediction generalization
capability

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Dimensionality reduction to maximize prediction generalization capability

1 March 2020

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Papers citing "Dimensionality reduction to maximize prediction generalization capability"

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Title
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian Samet Oymak Zalan Fabian Mingchen Li Mahdi Soltanolkotabi MLT 66 88 0 12 Jun 2019
Deconstructing Generative Adversarial Networks Banghua Zhu Jiantao Jiao David Tse 62 49 0 27 Jan 2019
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error Taiji Suzuki Hiroshi Abe Tomoya Murata Shingo Horiuchi Kotaro Ito Tokuma Wachi So Hirai Masatoshi Yukishima Tomoaki Nishimura MLT 58 10 0 26 Aug 2018
On the achievability of blind source separation for high-dimensional nonlinear source mixtures Takuya Isomura Taro Toyoizumi 46 12 0 02 Aug 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 81 1,260 0 27 Dec 2017
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics C. Wehmeyer Frank Noé AI4CE BDL 160 361 0 30 Oct 2017
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning William Lotter Gabriel Kreiman David D. Cox SSL 113 936 0 25 May 2016
Deep multi-scale video prediction beyond mean square error Michaël Mathieu Camille Couprie Yann LeCun GAN 128 1,882 0 17 Nov 2015
Unsupervised Learning of Video Representations using LSTMs Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov SSL 148 2,593 0 16 Feb 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,922 0 20 Dec 2013
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 216 3,598 0 27 Jul 2009