João Monteiro

Orcid: 0000-0002-1327-3572

Affiliations:
  • ServiceNow Research, Montréal, QC, Canada
  • Université du Québec, Montréal, QC, Canada
  • Institut National de la Recherche Scientifique, INRS-EMT, QC, Canada


According to our database1, João Monteiro authored at least 34 papers between 2017 and 2024.

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Bibliography

2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content.
CoRR, 2024

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
COVID-19 Detection via Fusion of Modulation Spectrum and Linear Prediction Speech Features.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection.
CoRR, 2023

Group Robust Classification Without Any Group Information.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constraining Representations Yields Models That Know What They Don't Know.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Multi-level self-attentive TDNN: A general and efficient approach to summarize speech into discriminative utterance-level representations.
Speech Commun., 2022

Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment.
Frontiers Artif. Intell., 2022

CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning.
CoRR, 2022

2020
Generalized end-to-end detection of spoofing attacks to automatic speaker recognizers.
Comput. Speech Lang., 2020

A Multi-condition Training Strategy for Countermeasures Against Spoofing Attacks to Speaker Recognizers.
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020


On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

An end-to-end approach for the verification problem: learning the right distance.
Proceedings of the 37th International Conference on Machine Learning, 2020

An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Residual convolutional neural network with attentive feature pooling for end-to-end language identification from short-duration speech.
Comput. Speech Lang., 2019

Adversarial target-invariant representation learning for domain generalization.
CoRR, 2019

Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation.
CoRR, 2019

Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

End-To-End Detection Of Attacks To Automatic Speaker Recognizers With Time-Attentive Light Convolutional Neural Networks.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Combining Speaker Recognition and Metric Learning for Speaker-Dependent Representation Learning.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Multi-objective training of Generative Adversarial Networks with multiple discriminators.
Proceedings of the 36th International Conference on Machine Learning, 2019

Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-end Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2019

AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

End-to-End Language Identification Using a Residual Convolutional Neural Network with Attentive Temporal Pooling.
Proceedings of the 27th European Signal Processing Conference, 2019

Development of Voice Spoofing Detection Systems for 2019 Edition of Automatic Speaker Verification and Countermeasures Challenge.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

On-Line Adaptative Curriculum Learning for GANs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Online Adaptative Curriculum Learning for GANs.
CoRR, 2018

Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch.
CoRR, 2018

Adversarial Examples Detection Using No-Reference Image Quality Features.
Proceedings of the 2018 International Carnahan Conference on Security Technology, 2018

Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2017
Speech emotion recognition on mobile devices based on modulation spectral feature pooling and deep neural networks.
Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017


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