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05/02/2023
The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold
We develop information-geometric techniques to analyze the trajectories ...
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10/31/2022
A picture of the space of typical learnable tasks
We develop a technique to analyze representations learned by deep networ...
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05/21/2022
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
Large convolutional neural networks (CNN) can be difficult to train in t...
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11/14/2017
Loss Functions for Multiset Prediction
We study the problem of multiset prediction. The goal of multiset predic...
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11/14/2017