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Denoising Adversarial Autoencoders

Denoising Adversarial Autoencoders

Antonia Creswell
Anil Anthony Bharath
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Papers citing "Denoising Adversarial Autoencoders"

6 / 6 papers shown
Title
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Farhad Shiri
Thinagaran Perumal
N. Mustapha
Raihani Mohamed
AILaw
SyDa
ELM
AI4TS
55
130
0
27 May 2023
Robust Multimodal Fusion for Human Activity Recognition
Robust Multimodal Fusion for Human Activity Recognition
Sanju Xaviar
Xin Yang
Omid Ardakanian
HAI
29
5
0
08 Mar 2023
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)
Khushnaseeb Roshan
Aasim Zafar
AAML
19
50
0
14 Dec 2021
Video Summarization Using Deep Neural Networks: A Survey
Video Summarization Using Deep Neural Networks: A Survey
Evlampios Apostolidis
E. Adamantidou
Alexandros I. Metsai
Vasileios Mezaris
Ioannis Patras
AI4TS
69
202
0
15 Jan 2021
Generative Models for Low-Rank Video Representation and Reconstruction
Generative Models for Low-Rank Video Representation and Reconstruction
Rakib Hyder
Ulugbek S. Kamilov
GAN
27
11
0
25 Feb 2019
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
Haoran You
Yu Cheng
Tianheng Cheng
Chunliang Li
Pan Zhou
GAN
29
3
0
19 Nov 2018