Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions

ICLR 2018 Scott ReedYutian ChenThomas PaineAäron van den OordS. M. Ali EslamiDanilo RezendeOriol VinyalsNando de Freitas

Deep autoregressive models have shown state-of-the-art performance in density estimation for natural images on large-scale datasets such as ImageNet. However, such models require many thousands of gradient-based weight updates and unique image examples for training... (read more)

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