Gonçalo Mordido

Orcid: 0000-0002-9485-5397

According to our database1, Gonçalo Mordido authored at least 23 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks.
IEEE Trans. Signal Process., 2024

Fairness-Aware Structured Pruning in Transformers.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Lookbehind Optimizer: k steps back, 1 step forward.
CoRR, 2023

Promoting Exploration in Memory-Augmented Adam using Critical Momenta.
CoRR, 2023

Should We Attend More or Less? Modulating Attention for Fairness.
CoRR, 2023

Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators.
CoRR, 2022

Tiny CNN for Seizure Prediction in Wearable Biomedical Devices.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Improving Meta-Learning Generalization with Activation-Based Early-Stopping.
Proceedings of the Conference on Lifelong Learning Agents, 2022

MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Diversification, compression, and evaluation methods for generative adversarial networks.
PhD thesis, 2021

Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing.
CoRR, 2021

Assessing Image and Text Generation with Topological Analysis and Fuzzy Logic.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Compressing 1D Time-Channel Separable Convolutions Using Sparse Random Ternary Matrices.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020
Improving the Evaluation of Generative Models with Fuzzy Logic.
CoRR, 2020

microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Monte Carlo Gradient Quantization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Mark-Evaluate: Assessing Language Generation using Population Estimation Methods.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Instant Quantization of Neural Networks using Monte Carlo Methods.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

2018
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators.
CoRR, 2018

2017
Automatic organisation, segmentation, and filtering of user-generated audio content.
Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

Automatic organisation and quality analysis of user-generated content with audio fingerprinting.
Proceedings of the 25th European Signal Processing Conference, 2017


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