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Rasool Fakoor
Rasool Fakoor
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Verified email at mavs.uta.edu - Homepage
Title
Cited by
Cited by
Year
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
4602013
Meta-Q-Learning
R Fakoor, P Chaudhari, S Soatto, AJ Smola
International Conference on Learning Representations (ICLR 2020), 2019
112*2019
P3O: Policy-on Policy-off Policy Optimization
R Fakoor, P Chaudhari, AJ Smola
Proceedings of The 35th Uncertainty in Artificial Intelligence Conference …, 2020
332020
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
322012
Memory-augmented attention modelling for videos
R Fakoor, A Mohamed, M Mitchell, SB Kang, P Kohli
arXiv preprint arXiv:1611.02261, 2016
292016
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
242020
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
132017
TraDE: Transformers for Density Estimation
R Fakoor, P Chaudhari, J Mueller, AJ Smola
arXiv preprint arXiv:2004.02441, 2020
102020
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
92018
Continuous doubly constrained batch reinforcement learning
R Fakoor, JW Mueller, K Asadi, P Chaudhari, AJ Smola
Advances in Neural Information Processing Systems 34, 11260-11273, 2021
72021
Continuous Doubly Constrained Batch Reinforcement Learning
R Fakoor, J Mueller, K Asadi, P Chaudhari, AJ Smola
35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
72021
Differentiable Greedy Networks
T Powers, R Fakoor, S Shakeri, A Sethy, A Kainth, ...
arXiv preprint arXiv:1810.12464, 2018
72018
Flexible Model Aggregation for Quantile Regression
R Fakoor, T Kim, J Mueller, A Smola, R Tibshirani
arXiv e-prints, arXiv: 2103.00083, 2021
5*2021
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning
R Fakoor, P Chaudhari, A Smola
32020
Direct Optimization of F-measure for Retrieval-based Personal Question Answering
R Fakoor, A Kainth, S Shakeri, C Winestock, A Mohamed, R Sarikaya
IEEE Spoken Language Technology, 2018
22018
Deep Attribute-based Zero-shot Learning with Layer-specific Regularizers
R Fakoor, M Bansal, MR Walter
NIPS 2015 , Transfer and Multi-Task Learning Workshop, 2015
22015
A Sampling-Based Approach to Reducing the Complexity of Continuous State Space POMDPs by Decomposition into Coupled Perceptual and Decision Processes
R Fakoor, M Huber
11th International Conference on Machine Learning and Applications (ICMLA), 2012
22012
Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline
M Caccia, J Mueller, T Kim, L Charlin, R Fakoor
arXiv preprint arXiv:2205.14495, 2022
12022
Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning
J Jin, S Zhou, W Zhang, T He, Y Yu, R Fakoor
12021
Reducing The Complexity Of Reinforcement Learning In POMDPs By Decomposition Into Decision And Perceptual Processes
R Fakoor
University of Texas at Arlington, CSE Dept., 2013
12013
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Articles 1–20