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Nathan Gavenski
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Efficient counterfactual debiasing for visual question answering
C Kolling, M More, N Gavenski, E Pooch, O Parraga, RC Barros
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
212022
Fairness in Deep Learning: A Survey on Vision and Language Research
O Parraga, MD More, CM Oliveira, NS Gavenski, LS Kupssinskü, ...
ACM Computing Surveys, 2023
13*2023
Attention-based 3D Object Reconstruction from a Single Image
A Salvi, N Gavenski, E Pooch, F Tasoniero, R Barros
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
112020
Augmented Behavioral Cloning from Observation
J Monteiro, N Gavenski, R Granada, F Meneguzzi, R Barros
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
92020
Imitating Unknown Policies via Exploration
N Gavenski, J Monteiro, R Granada, F Meneguzzi, RC Barros
2020 British Machine Vision Conference (BMVC), 2020
82020
Object-based goal recognition using real-world data
R Granada, J Monteiro, N Gavenski, F Meneguzzi
Mexican International Conference on Artificial Intelligence, 325-337, 2020
32020
How resilient are imitation learning methods to sub-optimal experts?
N Gavenski, J Monteiro, A Medronha, RC Barros
Brazilian Conference on Intelligent Systems, 449-463, 2022
22022
Self-supervised imitation learning from observation
N Gavenski, R Barros
Pontifícia Universidade Católica do Rio Grande do Sul, 2021
22021
Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking
N Gavenski, M Luck, O Rodrigues
arXiv preprint arXiv:2403.00550, 2024
2024
Self-Supervised Adversarial Imitation Learning
J Monteiro, N Gavenski, F Meneguzzi, RC Barros
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
2023
Artificial intelligence to predict the need for mechanical ventilation in cases of severe COVID-19
MF Godoy, JM Chatkin, RS Rodrigues, GC Forte, E Marchiori, N Gavenski, ...
Radiologia Brasileira 56, 81-85, 2023
2023
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