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Rasool Fakoor
Rasool Fakoor
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Title
Cited by
Cited by
Year
Dive into deep learning
A Zhang, ZC Lipton, M Li, AJ Smola
arXiv preprint arXiv:2106.11342, 2021
14082021
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
6372013
Meta-Q-Learning
R Fakoor, P Chaudhari, S Soatto, AJ Smola
International Conference on Learning Representations (ICLR 2020), 2019
1582019
Fast, accurate, and simple models for tabular data via augmented distillation
R Fakoor, JW Mueller, N Erickson, P Chaudhari, AJ Smola
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
582020
P3O: Policy-on Policy-off Policy Optimization
R Fakoor, P Chaudhari, AJ Smola
Proceedings of The 35th Uncertainty in Artificial Intelligence Conference …, 2020
552020
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
352012
Memory-augmented attention modelling for videos
R Fakoor, A Mohamed, M Mitchell, SB Kang, P Kohli
arXiv preprint arXiv:1611.02261, 2016
292016
TraDE: Transformers for Density Estimation
R Fakoor, P Chaudhari, J Mueller, AJ Smola
arXiv preprint arXiv:2004.02441, 2020
27*2020
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
252021
Flexible Model Aggregation for Quantile Regression
R Fakoor, T Kim, J Mueller, AJ Smola, RJ Tibshirani
Journal of Machine Learning Research (JMLR), 2022
19*2022
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges
M Caccia, J Mueller, T Kim, L Charlin, R Fakoor
Conference on Lifelong Learning Agents (CoLLAs), 2022
19*2022
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
162017
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
Differentiable Greedy Networks
T Powers, R Fakoor, S Shakeri, A Sethy, A Kainth, ...
arXiv preprint arXiv:1810.12464, 2018
72018
Resetting the optimizer in deep RL: An empirical study
K Asadi, R Fakoor, S Sabach
Advances in Neural Information Processing Systems 36, 2023
62023
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
Z Liu, J Zhang, K Asadi, Y Liu, D Zhao, S Sabach, R Fakoor
International Conference on Learning Representations (ICLR 2024), 2024
42024
Faster deep reinforcement learning with slower online network
K Asadi, R Fakoor, O Gottesman, T Kim, ML Littman, A Smola
36th Conference on Neural Information Processing Systems (NeurIPS 2022)., 2022
4*2022
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning
R Fakoor, P Chaudhari, A Smola
42020
Adaptive Interest for Emphatic Reinforcement Learning
M Klissarov, R Fakoor, J Mueller, K Asadi, T Kim, A Smola
36th Conference on Neural Information Processing Systems (NeurIPS 2022)., 2022
32022
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
32012
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Articles 1–20