Where and What? Examining Interpretable Disentangled Representations

7 April 2021

Papers citing "Where and What? Examining Interpretable Disentangled Representations"

8 / 8 papers shown

Title
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 39 2 0 03 Jan 2023
Disentangled Representation Learning Xin Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 35 78 0 21 Nov 2022
StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis Zhiheng Li Martin Renqiang Min Keqin Li Chenliang Xu EGVM 33 39 0 29 Mar 2022
Modelling Direct Messaging Networks with Multiple Recipients for Cyber Deception Kristen Moore Cody James Christopher David Liebowitz Surya Nepal R. Selvey 24 4 0 21 Nov 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 32 22 0 07 Jun 2021
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 24 18 0 27 Aug 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 285 10,354 0 12 Dec 2018