Rasool Fakoor
Rasool Fakoor
Amazon Web Services
Adresse e-mail validée de mavs.uta.edu - Page d'accueil
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Using deep learning to enhance cancer diagnosis and classification
R Fakoor, F Ladhak, A Nazi, M Huber
The 30th International Conference on Machine Learning (ICML 2013),WHEALTH …, 2013
3832013
Using deep learning to enhance cancer diagnosis and classification
R Fakoor, F Ladhak, A Nazi, M Huber
The 30th International Conference on Machine Learning (ICML 2013),WHEALTH …, 2013
3832013
Using deep learning to enhance cancer diagnosis and classification
R Fakoor, F Ladhak, A Nazi, M Huber
3832013
Meta-Q-Learning
R Fakoor, P Chaudhari, S Soatto, AJ Smola
International Conference on Learning Representations (ICLR 2020), 2019
65*2019
Meta-Q-Learning
R Fakoor, P Chaudhari, S Soatto, A Smola
402019
An integrated cloud-based framework for mobile phone sensing
R Fakoor, M Raj, A Nazi, M Di Francesco, SK Das
Proceedings of the first edition of the MCC workshop on Mobile cloud …, 2012
312012
Memory-augmented attention modelling for videos
R Fakoor, A Mohamed, M Mitchell, SB Kang, P Kohli
arXiv preprint arXiv:1611.02261, 2016
272016
P3O: Policy-on Policy-off Policy Optimization
R Fakoor, P Chaudhari, AJ Smola
Proceedings of The 35th Uncertainty in Artificial Intelligence Conference …, 2020
192020
P3O: Policy-on Policy-off Policy Optimization
R Fakoor, P Chaudhari, AJ Smola
Uncertainty in Artificial Intelligence (UAI 2019), 2019
192019
Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy
R Fakoor, X He, I Tashev, S Zarar.
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018
102018
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
R Fakoor, X He, I Tashev, S Zarar
NIPS 2017, Machine Learning for Audio Signal Processing workshop, 2017
102017
Fast, accurate, and simple models for tabular data via augmented distillation
R Fakoor, JW Mueller, N Erickson, P Chaudhari, AJ Smola
Advances in Neural Information Processing Systems 33, 2020
92020
Fast, accurate, and simple models for tabular data via augmented distillation
R Fakoor, JW Mueller, N Erickson, P Chaudhari, AJ Smola
arXiv preprint arXiv:2006.14284, 2020
92020
Differentiable Greedy Networks
T Powers, R Fakoor, S Shakeri, A Sethy, A Kainth, ...
arXiv preprint arXiv:1810.12464, 2018
72018
TraDE: Transformers for Density Estimation
R Fakoor, P Chaudhari, J Mueller, AJ Smola
arXiv preprint arXiv:2004.02441, 2020
62020
Trade: Transformers for density estimation
R Fakoor, P Chaudhari, J Mueller, AJ Smola
Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood …, 2020
62020
TraDE: Transformers for Density Estimation
R Fakoor, P Chaudhari, J Mueller, A Smola
62020
TraDE: Transformers for Density Estimation
R Fakoor, P Chaudhari, J Mueller, A Smola
arXiv preprint arXiv:2004.02441, 2020
62020
Deep Quantile Aggregation
T Kim, R Fakoor, J Mueller, AJ Smola, RJ Tibshirani
arXiv preprint arXiv:2103.00083, 2021
32021
Deep Quantile Aggregation
T Kim, R Fakoor, J Mueller, A Smola, R Tibshirani
32021
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