Search Results for author: Vahid Janfaza

Found 6 papers, 1 papers with code

ADA-GP: Accelerating DNN Training By Adaptive Gradient Prediction

no code implementations22 May 2023 Vahid Janfaza, Shantanu Mandal, Farabi Mahmud, Abdullah Muzahid

Neural network training is inherently sequential where the layers finish the forward propagation in succession, followed by the calculation and back-propagation of gradients (based on a loss function) starting from the last layer.

Large Language Models Based Automatic Synthesis of Software Specifications

no code implementations18 Apr 2023 Shantanu Mandal, Adhrik Chethan, Vahid Janfaza, S M Farabi Mahmud, Todd A Anderson, Javier Turek, Jesmin Jahan Tithi, Abdullah Muzahid

As software systems grow in complexity and scale, the number of configurations and associated specifications required to ensure the correct operation can become large and prohibitively difficult to manipulate manually.

Language Modelling Large Language Model

MERCURY: Accelerating DNN Training By Exploiting Input Similarity

no code implementations28 Oct 2021 Vahid Janfaza, Kevin Weston, Moein Razavi, Shantanu Mandal, Farabi Mahmud, Alex Hilty, Abdullah Muzahid

If the Signature of a new input vector matches that of an already existing vector in the MCACHE, the two vectors are found to have similarities.

Quantization

OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments

1 code implementation29 Jul 2021 Moein Razavi, Vahid Janfaza, Takashi Yamauchi, Anton Leontyev, Shanle Longmire-Monford, Joseph Orr

Method: This paper introduces an opensource platform named OpenSync, which can be used to synchronize multiple measures in neuroscience experiments.

EEG Electroencephalogram (EEG) +1

An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic

no code implementations5 Jan 2021 Moein Razavi, Hamed Alikhani, Vahid Janfaza, Benyamin Sadeghi, Ehsan Alikhani

This paper developed a computer vision system to automatically detect the violation of face mask wearing and physical distancing among construction workers to assure their safety on infrastructure projects during the pandemic.

object-detection Object Detection +1

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