research
∙
03/14/2023
Statistical Hardware Design With Multi-model Active Learning
With the rising complexity of numerous novel applications that serve our...
share
research
∙
01/04/2023
On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats
Deep learning models are dominating almost all artificial intelligence t...
research
∙
12/22/2022
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models
With the advent of deep learning application on edge devices, researcher...
research
∙
09/20/2022
Integer Fine-tuning of Transformer-based Models
Transformer based models are used to achieve state-of-the-art performanc...
research
∙
07/18/2022
Is Integer Arithmetic Enough for Deep Learning Training?
The ever-increasing computational complexity of deep learning models mak...
research
∙
02/18/2022
Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks
Recent efforts in deep learning show a considerable advancement in redes...
research
∙
04/06/2020