Gonçalo Mordido

IEEE Trans. Signal Process., 2024

Promoting Exploration in Memory-Augmented Adam using Critical Momenta.

[BibT_eX]

[DOI]

Pranshu Malviya

Reza Babanezhad Harikandeh

Aristide Baratin

Trans. Mach. Learn. Res., 2024

Torque-Aware Momentum.

[BibT_eX]

[DOI]

Pranshu Malviya

Reza Babanezhad Harikandeh

Aristide Baratin

Gintare Karolina Dziugaite

Razvan Pascanu

Sarath Chandar

CoRR, 2024

Lookbehind-SAM: k steps back, 1 step forward.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Exploring Quantization for Efficient Pre-Training of Transformer Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Why Don't Prompt-Based Fairness Metrics Correlate?

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Fairness-Aware Structured Pruning in Transformers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Training DNNs Resilient to Adversarial and Random Bit-Flips by Learning Quantization Ranges.

[BibT_eX]

[DOI]

Kamran Chitsaz

Jean-Pierre David

Trans. Mach. Learn. Res., 2023

Lookbehind Optimizer: k steps back, 1 step forward.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness.

[BibT_eX]

[DOI]

Abdelrahman Zayed

Prasanna Parthasarathi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

[BibT_eX]

[DOI]

Sarath Chandar

CoRR, 2022

Tiny CNN for Seizure Prediction in Wearable Biomedical Devices.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators.

[BibT_eX]

[DOI]

Abdeldjalil Aïssa-El-Bey

Yvon Savaria

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

Diversification, compression, and evaluation methods for generative adversarial networks.

[BibT_eX]

[DOI]

PhD thesis, 2021

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

[BibT_eX]

[DOI]

Haojin Yang

CoRR, 2021

Assessing Image and Text Generation with Topological Analysis and Fuzzy Logic.

[BibT_eX]

[DOI]

Julian Niedermeier

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Compressing 1D Time-Channel Separable Convolutions Using Sparse Random Ternary Matrices.

[BibT_eX]

[DOI]

Matthijs Van Keirsbilck

Alexander Keller

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Improving the Evaluation of Generative Models with Fuzzy Logic.

[BibT_eX]

[DOI]

Julian Niedermeier

CoRR, 2020

microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination.

[BibT_eX]

[DOI]

Haojin Yang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation.

[BibT_eX]

[DOI]

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Monte Carlo Gradient Quantization.

[BibT_eX]

[DOI]

Matthijs Van Keirsbilck

Alexander Keller

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Mark-Evaluate: Assessing Language Generation using Population Estimation Methods.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Instant Quantization of Neural Networks using Monte Carlo Methods.

[BibT_eX]

[DOI]

Matthijs Van Keirsbilck

Alexander Keller

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

2018

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

[BibT_eX]

[DOI]

Haojin Yang

CoRR, 2018

2017

Automatic organisation, segmentation, and filtering of user-generated audio content.

[BibT_eX]

[DOI]

João Magalhães

Sofia Cavaco

Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

Automatic organisation and quality analysis of user-generated content with audio fingerprinting.

[BibT_eX]

[DOI]