Afroz Mohiuddin
Afroz Mohiuddin
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Cited by
Cited by
Rethinking attention with performers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
arXiv preprint arXiv:2009.14794, 2020
Model-based reinforcement learning for atari
L Kaiser, M Babaeizadeh, P Milos, B Osinski, RH Campbell, ...
arXiv preprint arXiv:1903.00374, 2019
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Scaling up models and data with t5x and seqio
A Roberts, HW Chung, G Mishra, A Levskaya, J Bradbury, D Andor, ...
Journal of Machine Learning Research 24 (377), 1-8, 2023
Sparse is enough in scaling transformers
S Jaszczur, A Chowdhery, A Mohiuddin, L Kaiser, W Gajewski, ...
Advances in Neural Information Processing Systems 34, 9895-9907, 2021
Model-based reinforcement learning for atari (2019)
L Kaiser, M Babaeizadeh, P Milos, B Osinski, RH Campbell, ...
URL http://arxiv. org/abs, 1903
Generating elements of answer-seeking queries and elements of answers
Y Liu, P Popat, N Gupta, A Mohiuddin
US Patent 10,592,540, 2020
Deciphering clinical abbreviations with a privacy protecting machine learning system
A Rajkomar, E Loreaux, Y Liu, J Kemp, B Li, MJ Chen, Y Zhang, ...
Nature Communications 13 (1), 7456, 2022
Rethinking attention with performers
CK Marcin, L Valerii, D David, S Xingyou, G Andreea, S Tamás, H Peter, ...
OpenReview. net,, 2021
Q-value weighted regression: Reinforcement learning with limited data
P Kozakowski, L Kaiser, H Michalewski, A Mohiuddin, K Kańska
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
Reformer: the efficient transformer arXiv preprint arXiv: 200104451
N Kitaev, Ł Kaiser, A Levskaya
Answer to question neural networks
N Lao, LM Kaiser, N Gupta, A Mohiuddin, P Popat
US Patent 11,093,813, 2021
Model-based reinforcement learning for atari
B Osinski, C Finn, D Erhan, G Tucker, H Michalewski, K Czechowski, ...
Sparse attention neural networks
A Chowdhery, A Mohiuddin, H Michalewski, JM Kanerva, LM Kaiser, ...
US Patent App. 17/666,400, 2022
Forecasting Deep Learning Dynamics with Applications to Hyperparameter Tuning
P Kozakowski, Ł Kaiser, A Mohiuddin
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