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04/19/2023
A Theory on Adam Instability in Large-Scale Machine Learning
We present a theory for the previously unexplained divergent behavior no...
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12/15/2021
torch.fx: Practical Program Capture and Transformation for Deep Learning in Python
Modern deep learning frameworks provide imperative, eager execution prog...
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04/01/2021
Using Python for Model Inference in Deep Learning
Python has become the de-facto language for training deep neural network...
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02/13/2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Deep learning models with convolutional and recurrent networks are now u...
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04/22/2016
Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging
Many graphics and vision problems can be expressed as non-linear least s...
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06/24/2015