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Learning Deep Disentangled Embeddings with the F-Statistic Loss

14 February 2018

Papers citing "Learning Deep Disentangled Embeddings with the F-Statistic Loss"

50 / 140 papers shown

Title
GCVAE: Generalized-Controllable Variational AutoEncoder Kenneth Ezukwoke Anis Hoayek M. Batton-Hubert Xavier Boucher BDL DRL 29 1 0 09 Jun 2022
Clustering units in neural networks: upstream vs downstream information Richard D. Lange David Rolnick Konrad Paul Kording 59 11 0 22 Mar 2022
Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare Jana Fragemann Lynton Ardizzone Jan Egger Jens Kleesiek DRL MedIm 58 11 0 21 Mar 2022
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders Irem Cetin Maialen Stephens Oscar Camara M. A. G. Ballester DRL 120 40 0 20 Mar 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 99 46 0 17 Mar 2022
Interpretable Molecular Graph Generation via Monotonic Constraints Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao 115 19 0 28 Feb 2022
Efficient CDF Approximations for Normalizing Flows Chandramouli Shama Sastry Andreas M. Lehrmann Marcus A. Brubaker A. Radovic 45 1 0 23 Feb 2022
Disentangling Autoencoders (DAE) Jaehoon Cha Jeyan Thiyagalingam CoGe 83 1 0 20 Feb 2022
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations Marco Bertolini Djork-Arné Clevert F. Montanari FAtt 49 5 0 18 Feb 2022
Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition Jie Su Z. Wen Tao R. Lin Yu Guan 59 19 0 15 Feb 2022
Investigating Explainability of Generative AI for Code through Scenario-based Design Jiao Sun Q. V. Liao Michael J. Muller Mayank Agarwal Stephanie Houde Kartik Talamadupula Justin D. Weisz 86 165 0 10 Feb 2022
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement Xiaoting Shao Karl Stelzner Kristian Kersting CML DRL 82 3 0 01 Feb 2022
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models Alon Jacovi Junyoung Lee Alexander Lerch DRL 45 1 0 20 Dec 2021
On Causally Disentangled Representations Abbavaram Gowtham Reddy Benin Godfrey L V. Balasubramanian OOD CML 95 22 0 10 Dec 2021
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 90 69 0 28 Oct 2021
Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes Karn N. Watcharasupat Alexander Lerch 54 2 0 11 Oct 2021
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 158 47 0 01 Oct 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 200 72 0 26 Aug 2021
A Framework for Learning Ante-hoc Explainable Models via Concepts Anirban Sarkar Deepak Vijaykeerthy Anindya Sarkar V. Balasubramanian LRM BDL 93 50 0 25 Aug 2021
Vector-Decomposed Disentanglement for Domain-Invariant Object Detection Aming Wu R. Liu Yahong Han Linchao Zhu Yi Yang 93 107 0 15 Aug 2021
Self-Adversarial Disentangling for Specific Domain Adaptation Qianyu Zhou Qiqi Gu Jiangmiao Pang Xuequan Lu Lizhuang Ma 141 50 0 08 Aug 2021
Is Disentanglement enough? On Latent Representations for Controllable Music Generation Ashis Pati Alexander Lerch CoGe DRL 53 16 0 01 Aug 2021
$β$ -Annealed Variational Autoencoder for glitches Sivaramakrishnan Sankarapandian Brian Kulis DRL 25 1 0 20 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 110 16 0 12 Jul 2021
Generalization and Robustness Implications in Object-Centric Learning Andrea Dittadi Samuele Papa Michele De Vita Bernhard Schölkopf Ole Winther Francesco Locatello OCL OOD 111 77 0 01 Jul 2021
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets Lan Zhang Victor Prokhorov Ehsan Shareghi CoGe DRL 50 3 0 07 Jun 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization Travers Rhodes Daniel D. Lee DRL 80 16 0 05 Jun 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 105 42 0 29 Mar 2021
Generative Adversarial Transformers Drew A. Hudson C. L. Zitnick ViT 133 182 0 01 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 166 323 0 22 Feb 2021
Deep Gait Recognition: A Survey Alireza Sepas-Moghaddam Ali Etemad CVBM 110 184 0 18 Feb 2021
Disentangled Representations from Non-Disentangled Models Valentin Khrulkov L. Mirvakhabova Ivan Oseledets Artem Babenko OCL DRL CoGe 59 15 0 11 Feb 2021
On Disentanglement in Gaussian Process Variational Autoencoders Simon Bing Vincent Fortuin Gunnar Rätsch CML CoGe BDL DRL 86 9 0 10 Feb 2021
DEFT: Distilling Entangled Factors by Preventing Information Diffusion Jiantao Wu Lin Wang Bo Yang Fanqi Li Chunxiuzi Liu Jin Zhou 53 2 0 08 Feb 2021
Video Reenactment as Inductive Bias for Content-Motion Disentanglement Juan Felipe Hernandez Albarracin Adín Ramirez Rivera 92 3 0 30 Jan 2021
Evaluating Disentanglement of Structured Representations Raphaël Dang-Nhu OCL 157 5 0 11 Jan 2021
Measuring Disentanglement: A Review of Metrics M. Carbonneau Julian Zaïdi Jonathan Boilard G. Gagnon CoGe DRL 89 85 0 16 Dec 2020
Odd-One-Out Representation Learning Salman Mohammadi Anders Kirk Uhrenholt B. S. Jensen SSL OOD DRL 24 2 0 14 Dec 2020
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 316 267 0 09 Dec 2020
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation Zongze Wu Dani Lischinski Eli Shechtman DRL 140 483 0 25 Nov 2020
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints F. Tonin Panagiotis Patrinos Johan A. K. Suykens DRL OOD 47 16 0 25 Nov 2020
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision Harald Stromfelt Luke Dickens Artur Garcez A. Russo DRL 47 2 0 13 Nov 2020
Quantifying and Learning Linear Symmetry-Based Disentanglement Loek Tonnaer L. Rey Vlado Menkovski Mike Holenderski J. Portegies FedML CoGe DRL 83 14 0 11 Nov 2020
On the Transfer of Disentangled Representations in Realistic Settings Andrea Dittadi Frederik Trauble Francesco Locatello M. Wuthrich Vaibhav Agrawal Ole Winther Stefan Bauer Bernhard Schölkopf OOD 144 82 0 27 Oct 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 87 70 0 27 Oct 2020
Robust Disentanglement of a Few Factors at a Time Benjamin Estermann Markus Marks M. Yanik CoGe OOD DRL 88 3 0 26 Oct 2020
An Identifiable Double VAE For Disentangled Representations Graziano Mita Maurizio Filippone Pietro Michiardi CoGe DRL 68 0 0 19 Oct 2020
Factorized Discriminant Analysis for Genetic Signatures of Neuronal Phenotypes Mu Qiao 25 1 0 05 Oct 2020
Discond-VAE: Disentangling Continuous Factors from the Discrete Jaewoong Choi Geonho Hwang Myung-joo Kang CoGe CML 56 4 0 17 Sep 2020
Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations Ze Cheng Juncheng Li Chenxu Wang Jixuan Gu Hao Xu Xinjian Li Florian Metze OOD 44 2 0 12 Sep 2020