Group-disentangled Representation Learning with Weakly-Supervised
Regularization

Group-disentangled Representation Learning with Weakly-Supervised Regularization

23 October 2021

Amir Hosein Khasahmadi

Saeid Asgari Taghanaki

Papers citing "Group-disentangled Representation Learning with Weakly-Supervised Regularization"

17 / 17 papers shown

Title
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 97 3 0 24 Aug 2023
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 220 317 0 07 Feb 2020
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 111 137 0 22 Oct 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 186 333 0 06 Jun 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 73 226 0 31 May 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 77 210 0 29 May 2019
Learning Disentangled Joint Continuous and Discrete Representations Emilien Dupont DRL 76 242 0 31 Mar 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,348 0 16 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,132 0 24 Jan 2018
GAGAN: Geometry-Aware Generative Adversarial Networks Jean Kossaifi Linh-Tam Tran Yannis Panagakis Maja Pantic GAN 41 47 0 03 Dec 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 104 415 0 26 Jul 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 54 313 0 24 May 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 301 5,364 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 175 2,530 0 02 Nov 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 153 5,522 0 09 Dec 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 437 16,940 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 250 12,431 0 24 Jun 2012

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