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ORCIDGonçalo Mordido
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2020 – today
- 2024
[j3]Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar:
Promoting Exploration in Memory-Augmented Adam using Critical Momenta. Trans. Mach. Learn. Res. 2024 (2024)- [j2]Jonathan Kern
, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau:
Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks. IEEE Trans. Signal Process. 72: 1205-1218 (2024) - [c16]Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar:
Fairness-Aware Structured Pruning in Transformers. AAAI 2024: 22484-22492 - [c15]Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar:
Why Don't Prompt-Based Fairness Metrics Correlate? ACL (1) 2024: 9002-9019 - [c14]Gonçalo Mordido, Pranshu Malviya, Aristide Baratin, Sarath Chandar:
Lookbehind-SAM: k steps back, 1 step forward. ICML 2024 - [i19]Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar:
Why Don't Prompt-Based Fairness Metrics Correlate? CoRR abs/2406.05918 (2024) - [i18]Kamran Chitsaz, Quentin Fournier, Gonçalo Mordido, Sarath Chandar:
Exploring Quantization for Efficient Pre-Training of Transformer Language Models. CoRR abs/2407.11722 (2024) - 2023
- [j1]Kamran Chitsaz, Gonçalo Mordido, Jean-Pierre David, François Leduc-Primeau:
Training DNNs Resilient to Adversarial and Random Bit-Flips by Learning Quantization Ranges. Trans. Mach. Learn. Res. 2023 (2023) - [c13]Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar:
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. AAAI 2023: 14593-14601 - [i17]Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Sarath Chandar:
Should We Attend More or Less? Modulating Attention for Fairness. CoRR abs/2305.13088 (2023) - [i16]Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar:
Promoting Exploration in Memory-Augmented Adam using Critical Momenta. CoRR abs/2307.09638 (2023) - [i15]Gonçalo Mordido, Pranshu Malviya, Aristide Baratin, Sarath Chandar:
Lookbehind Optimizer: k steps back, 1 step forward. CoRR abs/2307.16704 (2023) - [i14]Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar:
Fairness-Aware Structured Pruning in Transformers. CoRR abs/2312.15398 (2023) - 2022
- [c12]Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau:
MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. AICAS 2022: 62-65 - [c11]Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar:
Improving Meta-Learning Generalization with Activation-Based Early-Stopping. CoLLAs 2022: 213-230 - [c10]Yang Zhang, Yvon Savaria, Shiqi Zhao, Gonçalo Mordido, Mohamad Sawan, François Leduc-Primeau:
Tiny CNN for Seizure Prediction in Wearable Biomedical Devices. EMBC 2022: 1306-1309 - [i13]Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau:
MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. CoRR abs/2205.01707 (2022) - [i12]Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar:
Improving Meta-Learning Generalization with Activation-Based Early-Stopping. CoRR abs/2208.02377 (2022) - [i11]Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar:
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. CoRR abs/2211.11109 (2022) - [i10]Gonçalo Mordido, Sarath Chandar, François Leduc-Primeau:
Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators. CoRR abs/2211.11561 (2022) - 2021
- [b1]Gonçalo Mordido:
Diversification, compression, and evaluation methods for generative adversarial networks. University of Potsdam, Germany, 2021 - [c9]Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Compressing 1D Time-Channel Separable Convolutions Using Sparse Random Ternary Matrices. Interspeech 2021: 4528-4532 - [c8]Gonçalo Mordido, Julian Niedermeier, Christoph Meinel:
Assessing Image and Text Generation with Topological Analysis and Fuzzy Logic. WACV 2021: 2012-2021 - [i9]Gonçalo Mordido, Haojin Yang, Christoph Meinel:
Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing. CoRR abs/2103.11912 (2021) - [i8]Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices. CoRR abs/2103.17142 (2021) - 2020
- [c7]Gonçalo Mordido, Christoph Meinel:
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods. COLING 2020: 1963-1977 - [c6]Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Monte Carlo Gradient Quantization. CVPR Workshops 2020: 3087-3095 - [c5]Jonathan Sauder, Ting Hu, Xiaoyin Che, Gonçalo Mordido, Haojin Yang, Christoph Meinel:
Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation. LREC 2020: 4680-4688 - [c4]Gonçalo Mordido, Haojin Yang, Christoph Meinel:
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination. WACV 2020: 3050-3059 - [i7]Gonçalo Mordido, Haojin Yang, Christoph Meinel:
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination. CoRR abs/2001.03376 (2020) - [i6]Julian Niedermeier, Gonçalo Mordido, Christoph Meinel:
Improving the Evaluation of Generative Models with Fuzzy Logic. CoRR abs/2002.03772 (2020) - [i5]Gonçalo Mordido, Christoph Meinel:
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods. CoRR abs/2010.04606 (2020)
2010 – 2019
- 2019
- [c3]Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Instant Quantization of Neural Networks using Monte Carlo Methods. EMC2@NeurIPS 2019: 26-30 - [i4]Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Instant Quantization of Neural Networks using Monte Carlo Methods. CoRR abs/1905.12253 (2019) - 2018
- [i3]Gonçalo Mordido, Haojin Yang, Christoph Meinel:
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators. CoRR abs/1807.11346 (2018) - 2017
- [c2]Gonçalo Mordido, João Magalhães, Sofia Cavaco:
Automatic organisation and quality analysis of user-generated content with audio fingerprinting. EUSIPCO 2017: 1814-1818 - [c1]Gonçalo Mordido, João Magalhães, Sofia Cavaco:
Automatic organisation, segmentation, and filtering of user-generated audio content. MMSP 2017: 1-6 - [i2]Gonçalo Mordido, João Magalhães, Sofia Cavaco:
Automatic Organisation and Quality Analysis of User-Generated Content with Audio Fingerprinting. CoRR abs/1708.05291 (2017) - [i1]Gonçalo Mordido, João Magalhães, Sofia Cavaco:
Automatic Organisation, Segmentation, and Filtering of User-Generated Audio Content. CoRR abs/1708.05302 (2017)
Coauthor Index
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last updated on 2024-09-26 00:57 CEST by the dblp team
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