Gonçalo Mordido

42 papers A* 3A 3B 2C 1Journal 23Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Exploring Quantization for Efficient Pre-Training of Transformer Language Models. EMNLP (Findings) Kamran Chitsaz, Quentin Fournier, Gonçalo Mordido, Sarath Chandar
2024	J	`jnl`	Exploring Quantization for Efficient Pre-Training of Transformer Language Models. CoRR Kamran Chitsaz, Quentin Fournier, Gonçalo Mordido, Sarath Chandar
2024	A*	`conf`	Fairness-Aware Structured Pruning in Transformers. AAAI Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar
2024	J	`jnl`	Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks. IEEE Trans. Signal Process. Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau
2024	A*	`conf`	Lookbehind-SAM: k steps back, 1 step forward. ICML Gonçalo Mordido, Pranshu Malviya, Aristide Baratin, Sarath Chandar
2024	J	`jnl`	Promoting Exploration in Memory-Augmented Adam using Critical Momenta. Trans. Mach. Learn. Res. Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar
2024	—	`conf`	Sharpness-Aware Minimization Scaled by Outlier Normalization for Robust DNNs on In-Memory Computing Accelerators. IEEECONF Sébastien Henwood, Gonçalo Mordido, Yvon Savaria, Sarath Chandar, François Leduc-Primeau
2024	J	`jnl`	Torque-Aware Momentum. CoRR Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Gintare Karolina Dziugaite, Razvan Pascanu, Sarath Chandar
2024	—	`conf`	Why Don't Prompt-Based Fairness Metrics Correlate? ACL (1) Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar
2024	J	`jnl`	Why Don't Prompt-Based Fairness Metrics Correlate? CoRR Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar
2023	A*	`conf`	Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. AAAI Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar
2023	J	`jnl`	Fairness-Aware Structured Pruning in Transformers. CoRR Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar
2023	J	`jnl`	Lookbehind Optimizer: k steps back, 1 step forward. CoRR Gonçalo Mordido, Pranshu Malviya, Aristide Baratin, Sarath Chandar
2023	J	`jnl`	Promoting Exploration in Memory-Augmented Adam using Critical Momenta. CoRR Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar
2023	J	`jnl`	Should We Attend More or Less? Modulating Attention for Fairness. CoRR Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Sarath Chandar
2023	J	`jnl`	Training DNNs Resilient to Adversarial and Random Bit-Flips by Learning Quantization Ranges. Trans. Mach. Learn. Res. Kamran Chitsaz, Gonçalo Mordido, Jean-Pierre David, François Leduc-Primeau
2022	J	`jnl`	Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. CoRR Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar
2022	—	`conf`	Improving Meta-Learning Generalization with Activation-Based Early-Stopping. CoLLAs Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar
2022	J	`jnl`	Improving Meta-Learning Generalization with Activation-Based Early-Stopping. CoRR Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar
2022	—	`conf`	MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. AICAS Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau
2022	J	`jnl`	MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. CoRR Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau
2022	J	`jnl`	Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators. CoRR Gonçalo Mordido, Sarath Chandar, François Leduc-Primeau
2022	—	`conf`	Tiny CNN for Seizure Prediction in Wearable Biomedical Devices. EMBC Yang Zhang, Yvon Savaria, Shiqi Zhao, Gonçalo Mordido, Mohamad Sawan, François Leduc-Primeau
2021	A	`conf`	Assessing Image and Text Generation with Topological Analysis and Fuzzy Logic. WACV Gonçalo Mordido, Julian Niedermeier, Christoph Meinel
2021	A	`conf`	Compressing 1D Time-Channel Separable Convolutions Using Sparse Random Ternary Matrices. Interspeech Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
2021	J	`jnl`	Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices. CoRR Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
2021	—	`—`	Diversification, compression, and evaluation methods for generative adversarial networks. Gonçalo Mordido
2021	J	`jnl`	Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing. CoRR Gonçalo Mordido, Haojin Yang, Christoph Meinel
2020	B	`conf`	Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation. LREC Jonathan Sauder, Ting Hu, Xiaoyin Che, Gonçalo Mordido, Haojin Yang, Christoph Meinel
2020	J	`jnl`	Improving the Evaluation of Generative Models with Fuzzy Logic. CoRR Julian Niedermeier, Gonçalo Mordido, Christoph Meinel
2020	B	`conf`	Mark-Evaluate: Assessing Language Generation using Population Estimation Methods. COLING Gonçalo Mordido, Christoph Meinel
2020	J	`jnl`	Mark-Evaluate: Assessing Language Generation using Population Estimation Methods. CoRR Gonçalo Mordido, Christoph Meinel
2020	—	`conf`	Monte Carlo Gradient Quantization. CVPR Workshops Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
2020	A	`conf`	microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination. WACV Gonçalo Mordido, Haojin Yang, Christoph Meinel
2020	J	`jnl`	microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination. CoRR Gonçalo Mordido, Haojin Yang, Christoph Meinel
2019	—	`conf`	Instant Quantization of Neural Networks using Monte Carlo Methods. EMC2@NeurIPS Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
2019	J	`jnl`	Instant Quantization of Neural Networks using Monte Carlo Methods. CoRR Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
2018	J	`jnl`	Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators. CoRR Gonçalo Mordido, Haojin Yang, Christoph Meinel
2017	J	`jnl`	Automatic Organisation and Quality Analysis of User-Generated Content with Audio Fingerprinting. CoRR Gonçalo Mordido, João Magalhães, Sofia Cavaco
2017	J	`jnl`	Automatic Organisation, Segmentation, and Filtering of User-Generated Audio Content. CoRR Gonçalo Mordido, João Magalhães, Sofia Cavaco
2017	—	`conf`	Automatic organisation and quality analysis of user-generated content with audio fingerprinting. EUSIPCO Gonçalo Mordido, João Magalhães, Sofia Cavaco
2017	C	`conf`	Automatic organisation, segmentation, and filtering of user-generated audio content. MMSP Gonçalo Mordido, João Magalhães, Sofia Cavaco