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10/30/2021
On Quantitative Evaluations of Counterfactuals
As counterfactual examples become increasingly popular for explaining de...
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03/25/2021
ECINN: Efficient Counterfactuals from Invertible Neural Networks
Counterfactual examples identify how inputs can be altered to change the...
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09/30/2020
One Reflection Suffice
Orthogonal weight matrices are used in many areas of deep learning. Much...
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09/29/2020
Fast Fréchet Inception Distance
The Fréchet Inception Distance (FID) has been used to evaluate thousands...
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09/29/2020
What if Neural Networks had SVDs?
Various Neural Networks employ time-consuming matrix operations like mat...
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09/12/2020
