Theory and Evaluation Metrics for Learning Disentangled Representations

26 August 2019

Papers citing "Theory and Evaluation Metrics for Learning Disentangled Representations"

23 / 23 papers shown

Title
Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks Christos Plachouras Julien Guinot George Fazekas Elio Quinton Emmanouil Benetos Johan Pauwels 155 0 0 09 May 2025
Analyzing Generative Models by Manifold Entropic Metrics Daniel Galperin Ullrich Köthe DRL 23 0 0 25 Oct 2024
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation K. K. Nakka Mathieu Salzmann DRL CoGe 26 2 0 20 Sep 2023
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models Preben Ness D. Marijan Sunanda Bose CML 29 0 0 21 Aug 2023
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment Peng Jin Hao Li Ze-Long Cheng Jinfa Huang Zhennan Wang Li-ming Yuan Chang-rui Liu Jie Chen 38 32 0 20 May 2023
A Category-theoretical Meta-analysis of Definitions of Disentanglement Yivan Zhang Masashi Sugiyama 38 3 0 11 May 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 27 2 0 08 Apr 2023
Correcting Flaws in Common Disentanglement Metrics Louis Mahon Lei Shah Thomas Lukasiewicz CoGe DRL 37 3 0 05 Apr 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 24 28 0 06 Feb 2023
Disentangled Representation Learning Xin Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 35 78 0 21 Nov 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 26 11 0 15 Sep 2022
Modular Representations for Weak Disentanglement Andrea Valenti D. Bacciu 33 0 0 12 Sep 2022
Leveraging Relational Information for Learning Weakly Disentangled Representations Andrea Valenti D. Bacciu CoGe DRL 29 5 0 20 May 2022
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 36 67 0 28 Oct 2021
Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes Karn N. Watcharasupat Alexander Lerch 26 2 0 11 Oct 2021
Vector-Decomposed Disentanglement for Domain-Invariant Object Detection Aming Wu R. Liu Yahong Han Linchao Zhu Yi Yang 35 103 0 15 Aug 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 32 32 0 27 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 35 22 0 07 Jun 2021
Where and What? Examining Interpretable Disentangled Representations Xinqi Zhu Chang Xu Dacheng Tao FAtt DRL 51 38 0 07 Apr 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 653 0 20 Mar 2021
Measuring Disentanglement: A Review of Metrics M. Carbonneau Julian Zaïdi Jonathan Boilard G. Gagnon CoGe DRL 28 81 0 16 Dec 2020
Measuring the Biases and Effectiveness of Content-Style Disentanglement Xiao Liu Spyridon Thermos Gabriele Valvano A. Chartsias Alison Q. OÑeil Sotirios A. Tsaftaris CoGe DRL 29 18 0 27 Aug 2020
Disentangle, align and fuse for multimodal and semi-supervised image segmentation A. Chartsias G. Papanastasiou Chengjia Wang S. Semple D. Newby R. Dharmakumar Sotirios A. Tsaftaris 24 13 0 11 Nov 2019