Gonçalo Mordido
Postdoctoral Fellow
Mila - Quebec AI Institute
goncalomordido [at] gmail [dot] com
About
I am a postdoctoral fellow at Mila - Quebec AI Institute working with Prof. Sarath Chandar. I am interested in improving the fairness and robustness of AI systems. Here is my CV (last updated 07/2024).
Publications
2024
Should we attend more or less? Modulating attention for fairness.
A. Zayed, G. Mordido, S. Shabanian, S. Chandar.
COLM 2024
Promoting exploration in memory-augmented Adam using critical momenta.
P. Malviya, G. Mordido, A. Baratin, R. Harikandeh, J. Huang, S. Lacoste-Julien, R. Pascanu, S. Chandar.
Transactions on Machine Learning Research
Why don’t prompt-based fairness metrics correlate?
A. Zayed, G. Mordido, I. Baldini, S. Chandar.
ACL 2024
Lookbehind-SAM: k steps back, 1 step forward.
G. Mordido, P. Malviya, A. Baratin, S. Chandar.
ICML 2024
Fast and accurate output error estimation for memristor-based deep neural networks.
J. Kern, S. Henwood, G. Mordido, E. Dupraz, A. Bey, Y. Savaria, F. Leduc-Primeau.
IEEE Transactions on Signal Processing
Fairness-aware structured pruning in Transformers.
A. Zayed, G. Mordido, S. Shabanian, I. Baldini, S. Chandar.
AAAI 2024
2023
Training DNNs resilient to adversarial and random bit-flips by learning quantization ranges.
K. Chitsaz, G. Mordido, J. David, F. Leduc-Primeau.
Transactions on Machine Learning Research
Deep learning on a healthy data diet: Finding important examples for fairness and performance.
A. Zayed, P. Parthasarathi, G. Mordido, H. Palangi, S. Shabanian, S. Chandar.
AAAI 2023
2022
Sharpness-aware training for accurate inference on noisy DNN accelerators.
G. Mordido, S. Chandar, F. Leduc-Primeau.
CoLLAs 2022 workshop & Edge Intelligence workshop 2022
Improving meta-learning generalization with activation-based early-stopping.
S. Guiroy, C. Pal, G. Mordido, S. Chandar.
CoLLAs 2022
MemSE: Fast MSE prediction for noisy memristor-based DNN accelerators.
J. Kern, S. Henwood, G. Mordido, E. Dupraz, A. Aissa-El-Bye, Y. Savaria, F. Leduc-Primeau.
AICAS 2022
Tiny CNN for seizure prediction in wearable biomedical devices.
Y. Zhang, Y. Savaria, S. Zhao, G. Mordido, M. Sawan, F. Leduc-Primeau.
EMBC 2022
2021
Compressing 1D time-channel separable convolutions using sparse random ternary matrices.
G. Mordido, M. Keirsbilck, A. Keller.
INTERSPEECH 2021
Assessing image and text generation with topological analysis and fuzzy logic.
G. Mordido*, J. Niedermeier*, C. Meinel.
WACV 2021
2020
Mark-Evaluate: Assessing language generation using population estimation methods.
G. Mordido, C. Meinel.
COLING 2020
Best student forcing: A simple training mechanism in adversarial language generation.
J. Sauder*, T. Hu*, X. Che, G. Mordido, H. Yang and C. Meinel.
LREC 2020
Monte Carlo gradient quantization.
G. Mordido, M. Keirsbilck, A. Keller.
CVPR 2020 EDLCV workshop
Improving the evaluation of generative models with fuzzy logic.
J. Niedermeier*, G. Mordido* and C. Meinel.
AAAI 2020 Meta-Eval workshop
microbatchGAN: Stimulating diversity with multi-adversarial discrimination.
G. Mordido, H. Yang, and C. Meinel.
WACV 2020
2019
Instant quantization of neural networks using Monte Carlo methods.
G. Mordido*, M. Keirsbilck*, A. Keller.
NeurIPS 2019 EMC2 workshop
2018
Pseudo-ground-truth for adversarial text generation using reinforcement learning.
J. Sauder, X. Che, G. Mordido, H. Yang and C. Meinel.
NeurIPS 2018 Deep RL workshop
Dropout-GAN: Learning from a dynamic ensemble of discriminators.
G. Mordido, H. Yang, and C. Meinel.
KDD 2018 Deep Learning Day
2017
Automatic organisation, segmentation, and filtering of user-generated audio content.
G. Mordido, J. Magalhaes, and S. Cavaco.
MMSP 2017
Automatic organisation and quality analysis of user-generated content with audio fingerprinting.
G. Mordido, J. Magalhaes, and S. Cavaco.
EUSIPCO 2017
Patents
2022
Incorporating a ternary matrix into a neural network.
A. Keller, G. Mordido, M. Van keirsbilck.
US Patent
2019
A. Keller, G. Mordido, N. Gamboa, M. Van keirsbilck.
US Patent