PCA-based Multi Task Learning: a Random Matrix Approach

1 November 2021

Papers citing "PCA-based Multi Task Learning: a Random Matrix Approach"

22 / 22 papers shown

Title
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering Romain Couillet Florent Chatelain N. L. Bihan 31 8 0 24 Feb 2021
Large Dimensional Analysis and Improvement of Multi Task Learning Malik Tiomoko Ali Romain Couillet Hafiz Tiomoko 31 7 0 03 Sep 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 89 456 0 31 Jan 2020
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures M. Seddik Cosme Louart M. Tamaazousti Romain Couillet 62 67 0 21 Jan 2020
Quantifying the Carbon Emissions of Machine Learning Alexandre Lacoste A. Luccioni Victor Schmidt Thomas Dandres 104 708 0 21 Oct 2019
Asymptotic Bayes risk for Gaussian mixture in a semi-supervised setting Marc Lelarge Léo Miolane 49 28 0 08 Jul 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 73 2,660 0 05 Jun 2019
Unsupervised and Supervised Principal Component Analysis: Tutorial Benyamin Ghojogh Mark Crowley 40 31 0 01 Jun 2019
A Survey on Deep Transfer Learning Chuanqi Tan F. Sun Tao Kong Wenchang Zhang Chao Yang Chunfang Liu 68 2,591 0 06 Aug 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Kuniaki Saito Kohei Watanabe Yoshitaka Ushiku Tatsuya Harada 98 1,795 0 07 Dec 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 605 2,235 0 25 Jul 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 147 2,057 0 22 Jun 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 156 2,830 0 15 Jun 2017
Semi-supervised Multitask Learning for Sequence Labeling Marek Rei 65 247 0 24 Apr 2017
Unsupervised Domain Adaptation with Residual Transfer Networks Mingsheng Long Hanjing Zhu Jianmin Wang Michael I. Jordan OOD 91 1,491 0 14 Feb 2016
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices Jie Wang Jieping Ye 52 18 0 15 May 2015
Efficient Learning of Domain-invariant Image Representations Judy Hoffman E. Rodner Jeff Donahue Trevor Darrell Kate Saenko OOD 84 294 0 15 Jan 2013
Convergence and prediction of principal component scores in high-dimensional settings Seunggeun Lee F. Zou F. Wright 59 95 0 13 Nov 2012
Multi-Stage Multi-Task Feature Learning Pinghua Gong Jieping Ye Changshui Zhang 114 160 0 22 Oct 2012
Sparse coding for multitask and transfer learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes 94 191 0 04 Sep 2012
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization Jun Liu Shuiwang Ji Jieping Ye 159 732 0 09 May 2012
A Convex Formulation for Learning Task Relationships in Multi-Task Learning Yu Zhang Dit-Yan Yeung 106 463 0 15 Mar 2012