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04/15/2023
Non-Proportional Parametrizations for Stable Hypernetwork Learning
Hypernetworks are neural networks that generate the parameters of anothe...
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04/12/2023
UniverSeg: Universal Medical Image Segmentation
While deep learning models have become the predominant method for medica...
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04/11/2023
Amortized Learning of Dynamic Feature Scaling for Image Segmentation
Convolutional neural networks (CNN) have become the predominant model fo...
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07/09/2022
At the Intersection of Deep Learning and Conceptual Art: The End of Signature
MIT wanted to commission a large scale artwork that would serve to 'illu...
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10/15/2021
Trade-offs of Local SGD at Scale: An Empirical Study
As datasets and models become increasingly large, distributed training h...
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03/06/2020
What is the State of Neural Network Pruning?
Neural network pruning—the task of reducing the size of a network by rem...
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11/30/2019
