Monteiro, Joao

18 publications

ICLR 2025 BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andre Noel, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar

ICLRW 2025 Explain-Query-Test: Self-Evaluating LLMs via Explanation and Comprehension Discrepancy Saeid Asgari, Joao Monteiro

ICLRW 2025 One Model to Train Them All: Hierarchical Self-Distillation for Enhanced Early Layer Embeddings Andrea Gurioli, Federico Pennino, Joao Monteiro, Maurizio Gabbrielli

NeurIPSW 2024 BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andre Noel, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Kurt MacDonald, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar

NeurIPS 2024 Expecting the Unexpected: Towards Broad Out-of-Distribution Detection Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas, David Vazquez, Joao Monteiro

ICMLW 2024 Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Mehrnaz Mofakhami, Reza Bayat, Ioannis Mitliagkas, Joao Monteiro, Valentina Zantedeschi

NeurIPS 2024 RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian

NeurIPS 2023 CADet: Fully Self-Supervised Out-of-Distribution Detection with Contrastive Learning Charles Guille-Escuret, Pau Rodriguez, David Vazquez, Ioannis Mitliagkas, Joao Monteiro

ICLR 2023 Constraining Representations Yields Models That Know What They Don't Know Joao Monteiro, Pau Rodriguez, Pierre-Andre Noel, Issam H. Laradji, David Vazquez

NeurIPS 2023 Group Robust Classification Without Any Group Information Christos Tsirigotis, Joao Monteiro, Pau Rodriguez, David Vazquez, Aaron C. Courville

TMLR 2023 StarCoder: May the Source Be with You! Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Joel Lamy-Poirier, Joao Monteiro, Nicolas Gontier, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Ben Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, Jason T Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Urvashi Bhattacharyya, Wenhao Yu, Sasha Luccioni, Paulo Villegas, Fedor Zhdanov, Tony Lee, Nadav Timor, Jennifer Ding, Claire S Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro Von Werra, Harm de Vries

NeurIPSW 2022 Constraining Low-Level Representations to Define Effective Confidence Scores Joao Monteiro, Pau Rodriguez, Pierre-Andre Noel, Issam H. Laradji, David Vazquez

UAI 2022 Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification João Monteiro, Mohamed Osama Ahmed, Hoseein Hajimirsadeghi, Greg Mori

NeurIPSW 2021 Not Too Close and Not Too Far: Enforcing Monotonicity Requires Penalizing the Right Points Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori

NeurIPSW 2021 Randomly Projecting Out Distribution Shifts for Improved Robustness Isabela Albuquerque, Joao Monteiro, Tiago Falk

ICML 2020 An End-to-End Approach for the Verification Problem: Learning the Right Distance Joao Monteiro, Isabela Albuquerque, Jahangir Alam, R Devon Hjelm, Tiago Falk

ICML 2019 Multi-Objective Training of Generative Adversarial Networks with Multiple Discriminators Isabela Albuquerque, Joao Monteiro, Thang Doan, Breandan Considine, Tiago Falk, Ioannis Mitliagkas

AAAI 2019 On-Line Adaptative Curriculum Learning for GANs Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm