Disentangling Latent Space for VAE by Label Relevant/Irrelevant
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Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions

22 December 2018

Papers citing "Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions"

11 / 11 papers shown

Title
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning Shunxin Guo Jiaqi Lv Xin Geng 49 0 0 27 Apr 2025
Directional Connectivity-based Segmentation of Medical Images Ziyun Yang Sina Farsiu 30 36 0 31 Mar 2023
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield 32 6 0 06 May 2022
Lossless Compression with Probabilistic Circuits Guy Van den Broeck Stephan Mandt Mathias Niepert TPM 11 19 0 23 Nov 2021
Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation Qiusheng Huang Zhilin Zheng Xueqi Hu Li Sun Qingli Li 21 4 0 11 Oct 2021
LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation Qiusheng Huang Xueqi Hu Li Sun Qingli Li VLM 38 0 0 11 Oct 2021
EXoN: EXplainable encoder Network SeungHwan An Hosik Choi Jong-June Jeon BDL DRL 29 5 0 23 May 2021
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 26 21 0 26 Feb 2020
Defending Adversarial Attacks via Semantic Feature Manipulation Shuo Wang Tianle Chen Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen AAML 16 5 0 03 Feb 2020
Towards Visually Explaining Variational Autoencoders Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu B. Bhanu Richard J. Radke Mario Sznaier 30 214 0 18 Nov 2019
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 250 3,190 0 30 Oct 2016