Követés
Azalia Mirhoseini
Azalia Mirhoseini
Assistant Professor of Computer Science, Stanford - Google DeepMind
E-mail megerősítve itt: stanford.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
N Shazeer, A Mirhoseini, K Maziarz, A Davis, Q Le, G Hinton, J Dean
arXiv preprint arXiv:1701.06538, 2017
24662017
Constitutional ai: Harmlessness from ai feedback
Y Bai, S Kadavath, S Kundu, A Askell, J Kernion, A Jones, A Chen, ...
arXiv preprint arXiv:2212.08073, 2022
11462022
A graph placement methodology for fast chip design
A Mirhoseini, A Goldie, M Yazgan, JW Jiang, E Songhori, S Wang, YJ Lee, ...
Nature 594 (7862), 207-212, 2021
6222021
Device placement optimization with reinforcement learning
A Mirhoseini, H Pham, QV Le, B Steiner, R Larsen, Y Zhou, N Kumar, ...
International conference on machine learning, 2430-2439, 2017
5372017
{FLAME}: Taming backdoors in federated learning
TD Nguyen, P Rieger, R De Viti, H Chen, BB Brandenburg, H Yalame, ...
31st USENIX Security Symposium (USENIX Security 22), 1415-1432, 2022
2842022
Representing long-range context for graph neural networks with global attention
Z Wu, P Jain, M Wright, A Mirhoseini, JE Gonzalez, I Stoica
Advances in Neural Information Processing Systems 34, 13266-13279, 2021
2812021
Chip placement with deep reinforcement learning
A Mirhoseini, A Goldie, M Yazgan, J Jiang, E Songhori, S Wang, YJ Lee, ...
arXiv preprint arXiv:2004.10746, 2020
2572020
SAFELearn: Secure aggregation for private federated learning
H Fereidooni, S Marchal, M Miettinen, A Mirhoseini, H Möllering, ...
2021 IEEE Security and Privacy Workshops (SPW), 56-62, 2021
2212021
A hierarchical model for device placement
A Mirhoseini, A Goldie, H Pham, B Steiner, QV Le, J Dean
International Conference on Learning Representations, 2018
1982018
A unified framework for multimodal submodular integrated circuits trojan detection
F Koushanfar, A Mirhoseini
IEEE Transactions on Information Forensics and Security 6 (1), 162-174, 2010
1512010
The capacity for moral self-correction in large language models
D Ganguli, A Askell, N Schiefer, TI Liao, K Lukošiūtė, A Chen, A Goldie, ...
arXiv preprint arXiv:2302.07459, 2023
1322023
Optimizing task recommendations in context-aware mobile crowdsourcing
S Nath, M Goraczko, J Liu, A Mirhoseini
US Patent 9,911,088, 2018
1272018
Deep mixture of experts via shallow embedding
X Wang, F Yu, L Dunlap, YA Ma, R Wang, A Mirhoseini, T Darrell, ...
Uncertainty in artificial intelligence, 552-562, 2020
1172020
Measuring progress on scalable oversight for large language models
SR Bowman, J Hyun, E Perez, E Chen, C Pettit, S Heiner, K Lukošiūtė, ...
arXiv preprint arXiv:2211.03540, 2022
872022
Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs
A Mirhoseini, EM Songhori, F Koushanfar
2013 IEEE International Conference on Pervasive Computing and Communications …, 2013
862013
FLGUARD: Secure and Private Federated Learning.
TD Nguyen, P Rieger, H Yalame, H Möllering, H Fereidooni, S Marchal, ...
IACR Cryptol. ePrint Arch. 2021, 25, 2021
832021
Gap: Generalizable approximate graph partitioning framework
A Nazi, W Hang, A Goldie, S Ravi, A Mirhoseini
arXiv preprint arXiv:1903.00614, 2019
772019
A full-stack search technique for domain optimized deep learning accelerators
D Zhang, S Huda, E Songhori, K Prabhu, Q Le, A Goldie, A Mirhoseini
Proceedings of the 27th ACM International Conference on Architectural …, 2022
632022
Delight: Adding energy dimension to deep neural networks
BD Rouhani, A Mirhoseini, F Koushanfar
Proceedings of the 2016 International Symposium on Low Power Electronics and …, 2016
632016
Large language monkeys: Scaling inference compute with repeated sampling
B Brown, J Juravsky, R Ehrlich, R Clark, QV Le, C Ré, A Mirhoseini
arXiv preprint arXiv:2407.21787, 2024
602024
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20