Rasool Fakoor
Rasool Fakoor
Amazon Web Services
Email confirmado em - Página inicial
Citado por
Citado por
Dive into deep learning
A Zhang, ZC Lipton, M Li, AJ Smola
arXiv preprint arXiv:2106.11342, 2021
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
R Fakoor, P Chaudhari, S Soatto, AJ Smola
International Conference on Learning Representations (ICLR 2020), 2019
P3O: Policy-on Policy-off Policy Optimization
R Fakoor, P Chaudhari, AJ Smola
Proceedings of The 35th Uncertainty in Artificial Intelligence Conference …, 2020
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
Memory-augmented attention modelling for videos
R Fakoor, A Mohamed, M Mitchell, SB Kang, P Kohli
arXiv preprint arXiv:1611.02261, 2016
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
TraDE: Transformers for Density Estimation
R Fakoor, P Chaudhari, J Mueller, AJ Smola
arXiv preprint arXiv:2004.02441, 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
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
Flexible Model Aggregation for Quantile Regression
R Fakoor, T Kim, J Mueller, AJ Smola, RJ Tibshirani
arXiv preprint arXiv:2103.00083, 2022
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
Differentiable Greedy Networks
T Powers, R Fakoor, S Shakeri, A Sethy, A Kainth, ...
arXiv preprint arXiv:1810.12464, 2018
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
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning
R Fakoor, P Chaudhari, A Smola
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
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
Improving tractability of POMDPs by separation of decision and perceptual processes
R Fakoor, M Huber
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012
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
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
O sistema não pode efectuar a operação agora. Tente mais tarde.
Artigos 1–20