Join us in exploring the cutting-edge paper that tackles the persistent challenge of learning useful representations without supervision in the realm of machine learning. The paper introduces the Vector Quantised-Variational AutoEncoder (VQ-VAE), a groundbreaking generative model that revolutionizes the landscape of discrete representations. Link to paper: https://arxiv.org/abs/1711.00937
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