Neural PCA for Flow-Based Representation Learning

Neural PCA for Flow-Based Representation Learning

23 August 2022

Bryan Hooi

Papers citing "Neural PCA for Flow-Based Representation Learning"

19 / 19 papers shown

Title
Neural Methods for Point-wise Dependency Estimation Yao-Hung Hubert Tsai Han Zhao M. Yamada Louis-Philippe Morency Ruslan Salakhutdinov 68 33 0 09 Jun 2020
Gaussianization Flows Chenlin Meng Yang Song Jiaming Song Stefano Ermon 43 30 0 04 Mar 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 207 1,697 0 05 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 201 12,085 0 13 Nov 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 178 775 0 10 Jun 2019
Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen Jens Behrmann David Duvenaud J. Jacobsen BDL TPM DRL 109 377 0 06 Jun 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 104 807 0 16 May 2019
Sum-of-Squares Polynomial Flow P. Jaini Kira A. Selby Yaoliang Yu TPM 59 143 0 07 May 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 147 873 0 02 Oct 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 320 2,662 0 20 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 295 3,134 0 09 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 417 5,111 0 19 Jun 2018
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 266 78 0 26 May 2016
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 126 1,145 0 05 Nov 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 313 4,182 0 21 May 2015
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 126 2,261 0 30 Oct 2014
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 151 534 0 01 Oct 2013
RNADE: The real-valued neural autoregressive density-estimator Benigno Uria Iain Murray Hugo Larochelle 105 238 0 02 Jun 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 264 12,439 0 24 Jun 2012