Publications by Gonçalo Mordido
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Gonçalo Mordido
Research Areas: Efficient deep learning
Activity
- Postdocs: Mar 2022 - now
Preprints
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Lookbehind Optimizer: k steps back, 1 step forward
Gonçalo Mordido, Pranshu Malviya, Aristide Baratin, and Sarath Chandar
In ArXiv, 2023.
#DL
[arXiv] -
Promoting Exploration in Memory-Augmented Adam using Critical Momenta
Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, and Sarath Chandar
In ArXiv, 2023.
#DL
[arXiv] -
Should We Attend More or Less? Modulating Attention for Fairness
Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, and Sarath Chandar
In ArXiv, 2023.
#NLP
[arXiv] -
Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators
Gonçalo Mordido, Sarath Chandar, and François Leduc-Primeau
Conference on Lifelong Learning Agents (CoLLAs) workshop, 2022.
[Edge Intelligence Workshop (EIW), 2022]
#DL
[arXiv]
Conference and Journal Papers
2024
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Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks
Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, and François Leduc-Primeau
IEEE Transactions on Signal Processing, 2024.
#DL
[paper] -
Fairness-Aware Structured Pruning in Transformers
Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, and Sarath Chandar
AAAI Conference on Artificial Intelligence (AAAI), 2024.
#NLP
[arXiv]
2023
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Training DNNs Resilient to Adversarial and Random Bit-Flips by Learning Quantization Ranges
Kamran Chitsaz, Gonçalo Mordido, Jean Pierre David, and François Leduc-Primeau
Transactions on Machine Learning Research (TMLR), 2023.
#DL
[openreview], [code] -
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness
Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, and Sarath Chandar
AAAI Conference on Artificial Intelligence (AAAI), 2023.
#NLP
[arXiv]
2022
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Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Simon Guiroy, Christopher Pal, Gonçalo Mordido, and Sarath Chandar
Conference on Lifelong Learning Agents (CoLLAs), 2022.
#DL
[arXiv], [code], [YouTube]