ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.12139
  4. Cited By
Interpreting the Latent Space of Generative Adversarial Networks using
  Supervised Learning

Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning

24 February 2021
Toan Pham Van
Tam Minh Nguyen
Ngoc N. Tran
Hoai Viet Nguyen
Linh Doan Bao
Huy Dao Quang
Ta Minh Thanh
    GAN
    SSL
ArXivPDFHTML

Papers citing "Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning"

2 / 2 papers shown
Title
Controlling the Latent Space of GANs through Reinforcement Learning: A
  Case Study on Task-based Image-to-Image Translation
Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation
Mahyar Abbasian
Taha Rajabzadeh
Ahmadreza Moradipari
Seyed Amir Hossein Aqajari
Hong-ming Lu
Amir M. Rahmani
13
3
0
26 Jul 2023
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
208
1,020
0
26 Mar 2018
1