João Monteiro

53 papers A* 8A 1B 3C 1Misc 3Journal 28Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Amortizing Maximum Inner Product Search with Learned Support Functions. CoRR Theo X. Olausson, João Monteiro, Michal Klein, Marco Cuturi
2026	J	`jnl`	LaCy: What Small Language Models Can and Should Learn is Not Just a Question of Loss. CoRR Szilvia Ujváry, Louis Béthune, Pierre Ablin, João Monteiro, Marco Cuturi, Michael Kirchhof
2026	J	`jnl`	The Design Space of Tri-Modal Masked Diffusion Models. CoRR Louis Béthune, Victor Turrisi, Bruno Kacper Mlodozeniec, Pau Rodríguez López, Lokesh Boominathan, Nikhil Bhendawade, Amitis Shidani, Joris Pelemans, Theo X. Olausson, R. Devon Hjelm, Paul Dixon, João Monteiro, Pierre Ablin, Vishnu Banna, Arno Blaas, Nick Henderson, Kari Noriy, Dan Busbridge, Joshua M. Susskind, Marco Cuturi, Irina Belousova, Luca Zappella, Russ Webb, Jason Ramapuram
2025	J	`jnl`	BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation. CoRR Christos Tsirigotis, Vaibhav Adlakha, João Monteiro, Aaron C. Courville, Perouz Taslakian
2025	J	`jnl`	Learning Unmasking Policies for Diffusion Language Models. CoRR Metod Jazbec, Theo X. Olausson, Louis Béthune, Pierre Ablin, Michael Kirchhof, João Monteiro, Victor Turrisi, Jason Ramapuram, Marco Cuturi
2025	J	`jnl`	PairBench: A Systematic Framework for Selecting Reliable Judge VLMs. CoRR Aarash Feizi, Sai Rajeswar, Adriana Romero-Soriano, Reihaneh Rabbany, Spandana Gella, Valentina Zantedeschi, João Monteiro
2024	J	`jnl`	BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. CoRR Juan A. Rodríguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar
2024	A*	`conf`	Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection. NeurIPS Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas, David Vázquez, João Monteiro
2024	J	`jnl`	Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones. CoRR Mehrnaz Mofakhami, Reza Bayat, Ioannis Mitliagkas, João Monteiro, Valentina Zantedeschi
2024	A*	`conf`	RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. NeurIPS João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar Mudumba, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Chris Pal, Perouz Taslakian
2024	J	`jnl`	RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. CoRR João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
2024	—	`conf`	XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. EMNLP (Findings) João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
2024	J	`jnl`	XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. CoRR João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
2023	A*	`conf`	CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. NeurIPS Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro
2023	J	`jnl`	COVID-19 Detection via Fusion of Modulation Spectrum and Linear Prediction Speech Features. IEEE ACM Trans. Audio Speech Lang. Process. Yi Zhu, Abhishek Tiwari, João Monteiro, Shruti Rajendra Kshirsagar, Tiago H. Falk
2023	A*	`conf`	Constraining Representations Yields Models That Know What They Don't Know. ICLR João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez
2023	J	`jnl`	Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection. CoRR Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas, David Vázquez, João Monteiro
2023	A*	`conf`	Group Robust Classification Without Any Group Information. NeurIPS Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville
2023	J	`jnl`	Group Robust Classification Without Any Group Information. CoRR Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville
2022	J	`jnl`	CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. CoRR Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro
2022	J	`jnl`	Constraining Representations Yields Models That Know What They Don't Know. CoRR João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez
2022	J	`jnl`	Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment. Frontiers Artif. Intell. Isabela Albuquerque, João Monteiro, Olivier Rosanne, Tiago H. Falk
2022	J	`jnl`	Multi-level self-attentive TDNN: A general and efficient approach to summarize speech into discriminative utterance-level representations. Speech Commun. João Monteiro, Jahangir Alam, Tiago H. Falk
2020	—	`conf`	A Multi-condition Training Strategy for Countermeasures Against Spoofing Attacks to Speaker Recognizers. Odyssey João Monteiro, Jahangir Alam, Tiago H. Falk
2020	Misc	`conf`	An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers. ICASSP João Monteiro, Jahangir Alam, Tiago H. Falk
2020	A*	`conf`	An end-to-end approach for the verification problem: learning the right distance. ICML João Monteiro, Isabela Albuquerque, Jahangir Alam, R. Devon Hjelm, Tiago H. Falk
2020	J	`jnl`	An end-to-end approach for the verification problem: learning the right distance. CoRR João Monteiro, Isabela Albuquerque, Jahangir Alam, R. Devon Hjelm, Tiago H. Falk
2020	—	`conf`	Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. Odyssey 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
2020	J	`jnl`	Generalized end-to-end detection of spoofing attacks to automatic speaker recognizers. Comput. Speech Lang. João Monteiro, Jahangir Alam, Tiago H. Falk
2020	Misc	`conf`	Multi-Task Self-Supervised Learning for Robust Speech Recognition. ICASSP Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual, Pawel Swietojanski, João Monteiro, Jan Trmal, Yoshua Bengio
2020	J	`jnl`	Multi-task self-supervised learning for Robust Speech Recognition. CoRR Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual, Pawel Swietojanski, João Monteiro, Jan Trmal, Yoshua Bengio
2020	B	`conf`	On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification. LREC João Monteiro, Jahangir Alam, Tiago H. Falk
2019	—	`conf`	AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications. GlobalSIP Raymundo Cassani, Isabela Albuquerque, João Monteiro, Tiago H. Falk
2019	J	`jnl`	Adversarial target-invariant representation learning for domain generalization. CoRR Isabela Albuquerque, João Monteiro, Tiago H. Falk, Ioannis Mitliagkas
2019	A	`conf`	Combining Speaker Recognition and Metric Learning for Speaker-Dependent Representation Learning. INTERSPEECH João Monteiro, Jahangir Alam, Tiago H. Falk
2019	B	`conf`	Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. SMC Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk
2019	J	`jnl`	Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. CoRR Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk
2019	C	`conf`	Development of Voice Spoofing Detection Systems for 2019 Edition of Automatic Speaker Verification and Countermeasures Challenge. ASRU João Monteiro, Jahangir Alam
2019	—	`conf`	End-To-End Detection Of Attacks To Automatic Speaker Recognizers With Time-Attentive Light Convolutional Neural Networks. MLSP João Monteiro, Jahangir Alam, Tiago H. Falk
2019	—	`conf`	End-to-End Language Identification Using a Residual Convolutional Neural Network with Attentive Temporal Pooling. EUSIPCO João Monteiro, Jahangir Alam, Gautam Bhattacharya, Tiago H. Falk
2019	B	`conf`	Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch. SMC João Monteiro, Isabela Albuquerque, Zahid Akhtar, Tiago H. Falk
2019	Misc	`conf`	Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-end Speaker Verification. ICASSP Gautam Bhattacharya, João Monteiro, Jahangir Alam, Patrick Kenny
2019	J	`jnl`	Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation. CoRR Isabela Albuquerque, João Monteiro, Tiago H. Falk
2019	A*	`conf`	Multi-objective training of Generative Adversarial Networks with multiple discriminators. ICML Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas
2019	J	`jnl`	Multi-objective training of Generative Adversarial Networks with multiple discriminators. CoRR Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas
2019	A*	`conf`	On-Line Adaptative Curriculum Learning for GANs. AAAI Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	J	`jnl`	Residual convolutional neural network with attentive feature pooling for end-to-end language identification from short-duration speech. Comput. Speech Lang. João Monteiro, Jahangir Alam, Tiago H. Falk
2018	—	`conf`	Adversarial Examples Detection Using No-Reference Image Quality Features. ICCST Zahid Akhtar, João Monteiro, Tiago H. Falk
2018	J	`jnl`	Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch. CoRR João Monteiro, Zahid Akhtar, Tiago H. Falk
2018	J	`jnl`	Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-End Speaker Verification. CoRR Gautam Bhattacharya, João Monteiro, Jahangir Alam, Patrick Kenny
2018	—	`conf`	Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography. CCECE Isabela Albuquerque, João Monteiro, Tiago H. Falk, Vuk Pavlovic, Ferdin Ephrem, Diana Lucaci
2018	J	`jnl`	Online Adaptative Curriculum Learning for GANs. CoRR Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2017	—	`conf`	Speech emotion recognition on mobile devices based on modulation spectral feature pooling and deep neural networks. ISSPIT Anderson R. Avila, João Monteiro, Douglas D. O'Shaughnessy, Tiago H. Falk