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10/30/2022
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
We introduce CAN, a simple, efficient and scalable method for self-super...
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08/14/2021
Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions
Disentangled visual representations have largely been studied with gener...
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08/19/2019
Boundless: Generative Adversarial Networks for Image Extension
Image extension models have broad applications in image editing, computa...
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06/15/2018
