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Mila - Quebec AI Institute
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Revisiting learnable affines for batch norm in few-shot transfer learning
M Yazdanpanah, AA Rahman, M Chaudhary, C Desrosiers, M Havaei, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
182022
Robust segmentation of vascular network using deeply cascaded AReN-UNet
AA Rahman, B Biswal, S Hasan, MVS Sairam
Biomedical Signal Processing and Control 69, 102953, 2021
122021
Learning from uncertain concepts via test time interventions
I Sheth, AA Rahman, LR Sevyeri, M Havaei, SE Kahou
Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022
112022
Early detection of locust swarms using deep learning
KS Kumar, A Abdul Rahman
Advances in Machine Learning and Computational Intelligence: Proceedings of …, 2020
112020
Classification of urbansound8k: A study using convolutional neural network and multiple data augmentation techniques
AA Rahman, J Angel Arul Jothi
Soft Computing and its Engineering Applications: Second International …, 2021
72021
Transformers in reinforcement learning: a survey
P Agarwal, AA Rahman, PL St-Charles, SJD Prince, SE Kahou
arXiv preprint arXiv:2307.05979, 2023
42023
Shift and scale is detrimental to few-shot transfer
M Yazdanpanah, AA Rahman, C Desrosiers, M Havaei, E Belilovsky, ...
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021
22021
Pitfalls of conditional batch normalization for contextual multi-modal learning
I Sheth, AA Rahman, M Havaei, SE Kahou
arXiv preprint arXiv:2211.15071, 2022
12022
Empowering Clinicians with MeDT: A Framework for Sepsis Treatment
AA Rahman, P Agarwal, V Michalski, R Noumeir, S Kahou
NeurIPS 2023 Workshop on Goal-Conditioned Reinforcement Learning, 2023
2023
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