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Enhancing Interpretability of Sparse Latent Representations with Class Information

Enhancing Interpretability of Sparse Latent Representations with Class Information

Farshad Sangari Abiz
Reshad Hosseini
Babak N. Araabi
    DRL
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Papers citing "Enhancing Interpretability of Sparse Latent Representations with Class Information"

4 / 4 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
134
30,021
0
01 Mar 2022
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images
Aadhithya Sankar
Matthias Keicher
R. Eisawy
Abhijeet Parida
Franz MJ Pfister
Seong Tae Kim
Nassir Navab
OOD
DRL
MedIm
25
8
0
19 Mar 2021
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
279
17,550
0
19 Jun 2020
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
132
8,807
0
25 Aug 2017