research
∙
07/25/2023
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
This work studies post-training parameter quantization in large language...
share
research
∙
10/08/2021
Performance optimizations on deep noise suppression models
We study the role of magnitude structured pruning as an architecture sea...
research
∙
07/30/2021
Pruning Neural Networks with Interpolative Decompositions
We introduce a principled approach to neural network pruning that casts ...
research
∙
06/17/2021
How Low Can We Go: Trading Memory for Error in Low-Precision Training
Low-precision arithmetic trains deep learning models using less energy, ...
research
∙
08/27/2020
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum
Convergence detection of iterative stochastic optimization methods is of...
research
∙
10/17/2017
