Dive into deep learning A Zhang, ZC Lipton, M Li, AJ Smola arXiv preprint arXiv:2106.11342, 2021 | 1367 | 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 | 625 | 2013 |
Meta-Q-Learning R Fakoor, P Chaudhari, S Soatto, AJ Smola International Conference on Learning Representations (ICLR 2020), 2019 | 157 | 2019 |
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 | 56 | 2020 |
P3O: Policy-on Policy-off Policy Optimization R Fakoor, P Chaudhari, AJ Smola Proceedings of The 35th Uncertainty in Artificial Intelligence Conference …, 2020 | 55 | 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 | 35 | 2012 |
Memory-augmented attention modelling for videos R Fakoor, A Mohamed, M Mitchell, SB Kang, P Kohli arXiv preprint arXiv:1611.02261, 2016 | 29 | 2016 |
TraDE: Transformers for Density Estimation R Fakoor, P Chaudhari, J Mueller, AJ Smola arXiv preprint arXiv:2004.02441, 2020 | 26* | 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 | 24 | 2021 |
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 | 16 | 2017 |
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 | 9 | 2018 |
Differentiable Greedy Networks T Powers, R Fakoor, S Shakeri, A Sethy, A Kainth, ... arXiv preprint arXiv:1810.12464, 2018 | 7 | 2018 |
Resetting the optimizer in deep RL: An empirical study K Asadi, R Fakoor, S Sabach Advances in Neural Information Processing Systems 36, 2023 | 4 | 2023 |
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 | 4 | 2020 |
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 | 3 | 2022 |
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 | 3 | 2012 |
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 | 2 | 2018 |