Brett H Meyer

Brett H Meyer

McGill University

H-index: 20

North America-Canada

About Brett H Meyer

Brett H Meyer, With an exceptional h-index of 20 and a recent h-index of 12 (since 2020), a distinguished researcher at McGill University, specializes in the field of Computer architecture, electronic design automation, fault-tolerance, embedded system security, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation

Robustness to distribution shifts of compressed networks for edge devices

Faster Inference of Integer SWIN Transformer by Removing the GELU Activation

Fast fine-tuning using curriculum domain adaptation

High-Throughput Edge Inference for BERT Models via Neural Architecture Search and Pipeline

A data-driven framework for medium-term electric vehicle charging demand forecasting

Training Acceleration of Frequency Domain CNNs Using Activation Compression

Efficient 1D Grouped Convolution for PyTorch a Case Study: Fast On-Device Fine-Tuning for SqueezeBERT

Brett H Meyer Information

University

Position

___

Citations(all)

1231

Citations(since 2020)

623

Cited By

892

hIndex(all)

20

hIndex(since 2020)

12

i10Index(all)

34

i10Index(since 2020)

16

Email

University Profile Page

McGill University

Google Scholar

View Google Scholar Profile

Brett H Meyer Skills & Research Interests

Computer architecture

electronic design automation

fault-tolerance

embedded system security

machine learning

Top articles of Brett H Meyer

Title

Journal

Author(s)

Publication Date

AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation

arXiv preprint arXiv:2401.13212

Lulan Shen

Ali Edalati

Brett Meyer

Warren Gross

James J Clark

2024/1/24

Robustness to distribution shifts of compressed networks for edge devices

arXiv preprint arXiv:2401.12014

Lulan Shen

Ali Edalati

Brett Meyer

Warren Gross

James J Clark

2024/1/22

Faster Inference of Integer SWIN Transformer by Removing the GELU Activation

arXiv preprint arXiv:2402.01169

Mohammadreza Tayaranian

Seyyed Hasan Mozafari

James J Clark

Brett Meyer

Warren Gross

2024/2/2

Fast fine-tuning using curriculum domain adaptation

Lulan Shen

Ibtihel Amara

Ruofeng Li

Brett Meyer

Warren Gross

...

2023/6/6

High-Throughput Edge Inference for BERT Models via Neural Architecture Search and Pipeline

Hung-Yang Chang

Seyyed Hasan Mozafari

James J Clark

Brett H Meyer

Warren J Gross

2023/6/5

A data-driven framework for medium-term electric vehicle charging demand forecasting

Energy and AI

Alexander Orzechowski

Loren Lugosch

Hao Shu

Raymond Yang

Wei Li

...

2023/10/1

Training Acceleration of Frequency Domain CNNs Using Activation Compression

SH Mozafari

JJ Clark

WJ Gross

BH Meyer

2023/5/21

Efficient 1D Grouped Convolution for PyTorch a Case Study: Fast On-Device Fine-Tuning for SqueezeBERT

SH Mozafari

JJ Clark

WJ Gross

BH Meyer

2023/7/19

FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentation

arXiv preprint arXiv:2303.16322

Zhuoran Xiong

Marihan Amein

Olivier Therrien

Warren J Gross

Brett H Meyer

2023/3/28

Dt-ds: Can intrusion detection with decision tree ensembles

ACM Transactions on Cyber-Physical Systems

Jarul Mehta

Guillaume Richard

Loren Lugosch

Derek Yu

Brett H Meyer

2023/3/22

PipeBERT: high-throughput BERT inference for arm big. Little multi-core processors

Journal of Signal Processing Systems

Hung-Yang Chang

Seyyed Hasan Mozafari

Cheng Chen

James J Clark

Brett H Meyer

...

2023/7

BD-KD: Balancing the Divergences for Online Knowledge Distillation

arXiv preprint arXiv:2212.12965

Ibtihel Amara

Nazanin Sepahvand

Brett H Meyer

Warren J Gross

James J Clark

2022/12/25

SSS3D: Fast Neural Architecture Search for Efcient Three-Dimensional Semantic Segmentation

Olivier Therrien

2022

CES-KD: curriculum-based expert selection for guided knowledge distillation

Ibtihel Amara

Maryam Ziaeefard

Brett H Meyer

Warren Gross

James J Clark

2022/8/21

Conjugate adder net (caddnet)-a space-efficient approximate cnn

Lulan Shen

Maryam Ziaeefard

Brett Meyer

Warren Gross

James J Clark

2022

Efficient Two-Stage Progressive Quantization of BERT

Charles Le

Arash Ardakani

Amir Ardakani

Hang Zhang

Yuyan Chen

...

2022/12

Efficient fine-tuning of compressed language models with learners

arXiv preprint arXiv:2208.02070

Danilo Vucetic

Mohammadreza Tayaranian

Maryam Ziaeefard

James J Clark

Brett H Meyer

...

2022/8/3

BERTPerf: Inference Latency Predictor for BERT on ARM big. LITTLE Multi-Core Processors

M Abdelgawad

Seyyed Hasan Mozafari

James J Clark

Brett H Meyer

Warren J Gross

2022/11/2

Fast heterogeneous task mapping for reducing edge dnn latency

Murray L Kornelsen

Seyyed Hasan Mozafari

James J Clark

Brett H Meyer

Warren J Gross

2022/7/12

Work-in-progress: Utilizing latency and accuracy predictors for efficient hardware-aware NAS

Negin Firouzian

Seyyed Hasan Mozafari

James J Clark

Warren J Gross

Brett H Meyer

2022/10/7

See List of Professors in Brett H Meyer University(McGill University)

Co-Authors

H-index: 71
Kevin Skadron

Kevin Skadron

University of Virginia

H-index: 63
Jürgen Teich

Jürgen Teich

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 57
Mircea R. Stan

Mircea R. Stan

University of Virginia

H-index: 48
Benton Calhoun

Benton Calhoun

University of Virginia

H-index: 41
John Lach

John Lach

George Washington University

H-index: 36
Dimitrios Soudris

Dimitrios Soudris

National Technical University of Athens

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