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RPGAN: GANs Interpretability via Random Routing
v1v2 (latest)

RPGAN: GANs Interpretability via Random Routing

23 December 2019
A. Voynov
Artem Babenko
    GAN
ArXiv (abs)PDFHTML

Papers citing "RPGAN: GANs Interpretability via Random Routing"

6 / 6 papers shown
Title
WarpedGANSpace: Finding non-linear RBF paths in GAN latent space
WarpedGANSpace: Finding non-linear RBF paths in GAN latent spaceIEEE International Conference on Computer Vision (ICCV), 2021
Christos Tzelepis
Georgios Tzimiropoulos
Ioannis Patras
218
65
0
27 Sep 2021
Interpretable Deep Learning: Interpretation, Interpretability,
  Trustworthiness, and Beyond
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and BeyondKnowledge and Information Systems (KAIS), 2021
Xuhong Li
Haoyi Xiong
Xingjian Li
Xuanyu Wu
Xiao Zhang
Ji Liu
Jiang Bian
Dejing Dou
AAMLFaMLXAIHAI
276
432
0
19 Mar 2021
Investigating Deep Neural Structures and their Interpretability in the
  Domain of Voice Conversion
Investigating Deep Neural Structures and their Interpretability in the Domain of Voice ConversionInterspeech (Interspeech), 2021
Samuel J. Broughton
Md. Asif Jalal
Roger K. Moore
104
0
0
22 Feb 2021
Deep Graph Generators: A Survey
Deep Graph Generators: A SurveyIEEE Access (IEEE Access), 2020
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNNAI4CE
231
67
0
31 Dec 2020
Making Neural Networks Interpretable with Attribution: Application to
  Implicit Signals Prediction
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals PredictionACM Conference on Recommender Systems (RecSys), 2020
Darius Afchar
Romain Hennequin
FAttXAI
220
16
0
26 Aug 2020
Unsupervised Discovery of Interpretable Directions in the GAN Latent
  Space
Unsupervised Discovery of Interpretable Directions in the GAN Latent SpaceInternational Conference on Machine Learning (ICML), 2020
A. Voynov
Artem Babenko
326
446
0
10 Feb 2020
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