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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
    GANSSL
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
Title
Measuring Feature Sparsity in Language Models
Measuring Feature Sparsity in Language Models
Mingyang Deng
Lucas Tao
Joe Benton
61
1
0
11 Oct 2023
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
43
3
0
26 Jul 2023
1