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3D - Arxiv Doc - Deep latent variable models - DeepMind - Diffusion model - GAN - Genetic algorithm - http://www.semanlink.net/tag/pdf_extract - Memory in deep learning - NLP - Nous vivons une époque moderne - Rant - Representation learning - Sparse distributed memory - Tutorial - Variational Bayesian methods -

Latent variable model AND Neural networks

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10 Documents

Diffusion language models – Sander Dieleman

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2023-04-06 About

[1904.01947] Extracting Tables from Documents using Conditional Generative Adversarial Networks and Genetic Algorithms

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2020-04-02 About

HOLOGAN: UNSUPERVISED LEARNING OF 3D REPRESENTATIONS FROM NATURAL IMAGES

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3D
GAN

2019-04-05 About

The Kanerva Machine: A Generative Distributed Memory | OpenReview (2018)

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2018-12-06 About

Deep Latent-Variable Models for Natural Language - Tutorial - harvardnlp

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2018-11-01 About

[Seminar] Deep Latent Variable Models of Natural Language

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2018-10-31 About

The relativistic discriminator: a key element missing from standard GAN (2018) – Alexia Jolicoeur-Martineau

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GAN

2018-07-05 About

What a Disentangled Net We Weave: Representation Learning in VAEs (Pt. 1)

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2018-05-29 About

An Adversarial Review of “Adversarial Generation of Natural Language”

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2018-01-01 About

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

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2017-06-09 About