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ORCIDJoão Monteiro 0002
Person information
- affiliation: ServiceNow Research, Montréal, QC, Canada
- affiliation: Université du Québec, Montréal, QC, Canada
- affiliation: Institut National de la Recherche Scientifique, INRS-EMT, QC, Canada
Other persons with the same name
- João Monteiro — disambiguation page
- João Monteiro 0001
![[0000-0002-3287-3995]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3287-3995")
(aka: João L. Monteiro 0001) — University of Minho, Algoritmi Centre, Guimarães, Portugal - João Monteiro 0003 — University of Coimbra, Research Centre for Territory, Transports and Environment, CITTA,Porto, Portugal
- João Monteiro 0004 (aka: João Gama Monteiro 0004) — MARE, Marine and Environmental Sciences Centre, Aquatic Research Network, ARNET, Caniçal, Portugal
- João Monteiro 0005 — University of Beira Interior, CISE, Electromechatronic Systems Research Centre, Portugal
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2020 – today
- 2024
[i14]João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian:
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. CoRR abs/2404.15420 (2024)- [i13]João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian:
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. CoRR abs/2406.11811 (2024) - 2023
- [j5]Yi Zhu, Abhishek Tiwari, João Monteiro, Shruti Rajendra Kshirsagar, Tiago H. Falk:
COVID-19 Detection via Fusion of Modulation Spectrum and Linear Prediction Speech Features. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1536-1549 (2023) - [c21]João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez:
Constraining Representations Yields Models That Know What They Don't Know. ICLR 2023 - [c20]Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro:
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. NeurIPS 2023 - [c19]Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville:
Group Robust Classification Without Any Group Information. NeurIPS 2023 - [i12]Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas, David Vázquez, João Monteiro:
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection. CoRR abs/2308.11480 (2023) - [i11]Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville:
Group Robust Classification Without Any Group Information. CoRR abs/2310.18555 (2023) - 2022
- [j4]Isabela Albuquerque, João Monteiro, Olivier Rosanne, Tiago H. Falk:
Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment. Frontiers Artif. Intell. 5 (2022) - [j3]João Monteiro, Jahangir Alam, Tiago H. Falk:
Multi-level self-attentive TDNN: A general and efficient approach to summarize speech into discriminative utterance-level representations. Speech Commun. 140: 42-49 (2022) - [i10]João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez:
Constraining Representations Yields Models That Know What They Don't Know. CoRR abs/2208.14488 (2022) - [i9]Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro:
CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. CoRR abs/2210.01742 (2022) - 2020
- [j2]João Monteiro, Jahangir Alam, Tiago H. Falk:
Generalized end-to-end detection of spoofing attacks to automatic speaker recognizers. Comput. Speech Lang. 63: 101096 (2020) - [c18]João Monteiro, Jahangir Alam, Tiago H. Falk:
An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers. ICASSP 2020: 6599-6603 - [c17]João Monteiro, Isabela Albuquerque, Jahangir Alam, R. Devon Hjelm, Tiago H. Falk:
An end-to-end approach for the verification problem: learning the right distance. ICML 2020: 7022-7033 - [c16]João Monteiro, Jahangir Alam, Tiago H. Falk:
On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification. LREC 2020: 3566-3572 - [c15]Jahangir Alam, Gilles Boulianne, Lukás Burget, Mohamed Dahmane, Mireia Díez Sánchez, Alicia Lozano-Diez, Ondrej Glembek, Pierre-Luc St-Charles, Marc Lalonde, Pavel Matejka, Petr Mizera, João Monteiro, Ladislav Mosner, Cedric Noiseux, Ondrej Novotný, Oldrich Plchot, Johan Rohdin, Anna Silnova, Josef Slavícek, Themos Stafylakis, Shuai Wang, Hossein Zeinali:
Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. Odyssey 2020: 289-295 - [c14]João Monteiro, Jahangir Alam, Tiago H. Falk:
A Multi-condition Training Strategy for Countermeasures Against Spoofing Attacks to Speaker Recognizers. Odyssey 2020: 296-303 - [i8]João Monteiro, Isabela Albuquerque, Jahangir Alam, R. Devon Hjelm, Tiago H. Falk:
An end-to-end approach for the verification problem: learning the right distance. CoRR abs/2002.09469 (2020)
2010 – 2019
- 2019
- [j1]João Monteiro, Jahangir Alam, Tiago H. Falk:
Residual convolutional neural network with attentive feature pooling for end-to-end language identification from short-duration speech. Comput. Speech Lang. 58: 364-376 (2019) - [c13]Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
On-Line Adaptative Curriculum Learning for GANs. AAAI 2019: 3470-3477 - [c12]João Monteiro, Jahangir Alam:
Development of Voice Spoofing Detection Systems for 2019 Edition of Automatic Speaker Verification and Countermeasures Challenge. ASRU 2019: 1003-1010 - [c11]João Monteiro, Jahangir Alam, Gautam Bhattacharya, Tiago H. Falk:
End-to-End Language Identification Using a Residual Convolutional Neural Network with Attentive Temporal Pooling. EUSIPCO 2019: 1-5 - [c10]Raymundo Cassani, Isabela Albuquerque, João Monteiro, Tiago H. Falk:
AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications. GlobalSIP 2019: 1-4 - [c9]Gautam Bhattacharya, João Monteiro, Jahangir Alam, Patrick Kenny:
Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-end Speaker Verification. ICASSP 2019: 6226-6230 - [c8]Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas:
Multi-objective training of Generative Adversarial Networks with multiple discriminators. ICML 2019: 202-211 - [c7]João Monteiro, Jahangir Alam, Tiago H. Falk:
Combining Speaker Recognition and Metric Learning for Speaker-Dependent Representation Learning. INTERSPEECH 2019: 4015-4019 - [c6]João Monteiro, Jahangir Alam, Tiago H. Falk:
End-To-End Detection Of Attacks To Automatic Speaker Recognizers With Time-Attentive Light Convolutional Neural Networks. MLSP 2019: 1-6 - [c5]João Monteiro, Isabela Albuquerque, Zahid Akhtar, Tiago H. Falk:
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch. SMC 2019: 2839-2844 - [c4]Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk:
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. SMC 2019: 3647-3653 - [i7]Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas:
Multi-objective training of Generative Adversarial Networks with multiple discriminators. CoRR abs/1901.08680 (2019) - [i6]Isabela Albuquerque, João Monteiro, Tiago H. Falk:
Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation. CoRR abs/1901.11384 (2019) - [i5]Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk:
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. CoRR abs/1906.08823 (2019) - [i4]Isabela Albuquerque, João Monteiro, Tiago H. Falk, Ioannis Mitliagkas:
Adversarial target-invariant representation learning for domain generalization. CoRR abs/1911.00804 (2019) - 2018
- [c3]Isabela Albuquerque, João Monteiro, Tiago H. Falk, Vuk Pavlovic, Ferdin Ephrem, Diana Lucaci:
Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography. CCECE 2018: 1-4 - [c2]Zahid Akhtar, João Monteiro, Tiago H. Falk:
Adversarial Examples Detection Using No-Reference Image Quality Features. ICCST 2018: 1-5 - [i3]João Monteiro, Zahid Akhtar, Tiago H. Falk:
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch. CoRR abs/1802.07770 (2018) - [i2]Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
Online Adaptative Curriculum Learning for GANs. CoRR abs/1808.00020 (2018) - [i1]Gautam Bhattacharya, João Monteiro, Jahangir Alam, Patrick Kenny:
Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-End Speaker Verification. CoRR abs/1811.03063 (2018) - 2017
- [c1]Anderson R. Avila, João Monteiro, Douglas D. O'Shaughnessy, Tiago H. Falk:
Speech emotion recognition on mobile devices based on modulation spectral feature pooling and deep neural networks. ISSPIT 2017: 360-365
Coauthor Index
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