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Transflow Learning: Repurposing Flow Models Without Retraining
v1v2 (latest)

Transflow Learning: Repurposing Flow Models Without Retraining

29 November 2019
Andrew Gambardella
A. G. Baydin
Philip Torr
    DRLAI4CE
ArXiv (abs)PDFHTML

Papers citing "Transflow Learning: Repurposing Flow Models Without Retraining"

5 / 5 papers shown
Title
Improved Input Reprogramming for GAN Conditioning
Improved Input Reprogramming for GAN Conditioning
Tuan Dinh
Daewon Seo
Zhixu Du
Liang Shang
Kangwook Lee
AI4CE
103
8
0
07 Jan 2022
Few-Shot Adaptation of Generative Adversarial Networks
Few-Shot Adaptation of Generative Adversarial Networks
Esther Robb
Wen-Sheng Chu
Abhishek Kumar
Jia-Bin Huang
80
100
0
22 Oct 2020
RG-Flow: A hierarchical and explainable flow model based on
  renormalization group and sparse prior
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
Hong-Ye Hu
Dian Wu
Yi-Zhuang You
Bruno A. Olshausen
Yubei Chen
BDLDRL
89
16
0
30 Sep 2020
Flowtron: an Autoregressive Flow-based Generative Network for
  Text-to-Speech Synthesis
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
Rafael Valle
Kevin J. Shih
R. Prenger
Bryan Catanzaro
96
121
0
12 May 2020
i-flow: High-dimensional Integration and Sampling with Normalizing Flows
i-flow: High-dimensional Integration and Sampling with Normalizing Flows
Christina Gao
J. Isaacson
Claudius Krause
AI4CE
83
111
0
15 Jan 2020
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