Aakanksha Chowdhery
Aakanksha Chowdhery
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Cited by
Cited by
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
Journal of Machine Learning Research 24 (240), 1-113, 2023
Scaling instruction-finetuned language models
HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ...
Journal of Machine Learning Research 25 (70), 1-53, 2024
Large language models encode clinical knowledge
K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ...
Nature 620 (7972), 172-180, 2023
Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
Palm-e: An embodied multimodal language model
D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ...
arXiv preprint arXiv:2303.03378, 2023
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
Self-consistency improves chain of thought reasoning in language models
X Wang, J Wei, D Schuurmans, Q Le, E Chi, S Narang, A Chowdhery, ...
arXiv preprint arXiv:2203.11171, 2022
Challenging big-bench tasks and whether chain-of-thought can solve them
M Suzgun, N Scales, N Schärli, S Gehrmann, Y Tay, HW Chung, ...
arXiv preprint arXiv:2210.09261, 2022
The design and implementation of a wireless video surveillance system
T Zhang, A Chowdhery, P Bahl, K Jamieson, S Banerjee
Proceedings of the 21st annual international conference on mobile computing …, 2015
Gemma: Open models based on gemini research and technology
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...
arXiv preprint arXiv:2403.08295, 2024
Efficiently scaling transformer inference
R Pope, S Douglas, A Chowdhery, J Devlin, J Bradbury, J Heek, K Xiao, ...
Proceedings of Machine Learning and Systems 5, 606-624, 2023
Server-driven video streaming for deep learning inference
K Du, A Pervaiz, X Yuan, A Chowdhery, Q Zhang, H Hoffmann, J Jiang
Proceedings of the Annual conference of the ACM Special Interest Group on …, 2020
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
Towards generalist biomedical AI
T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ...
NEJM AI 1 (3), AIoa2300138, 2024
Visual wake words dataset
A Chowdhery, P Warden, J Shlens, A Howard, R Rhodes
arXiv preprint arXiv:1906.05721, 2019
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
Pathways: Asynchronous distributed dataflow for ml
P Barham, A Chowdhery, J Dean, S Ghemawat, S Hand, D Hurt, M Isard, ...
Proceedings of Machine Learning and Systems 4, 430-449, 2022
Accelerating machine learning inference with probabilistic predicates
Y Lu, A Chowdhery, S Kandula, S Chaudhuri
Proceedings of the 2018 International Conference on Management of Data, 1493 …, 2018
Optasia: A relational platform for efficient large-scale video analytics
Y Lu, A Chowdhery, S Kandula
Proceedings of the Seventh ACM Symposium on Cloud Computing, 57-70, 2016
Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning
H Hazimeh, Z Zhao, A Chowdhery, M Sathiamoorthy, Y Chen, ...
Advances in Neural Information Processing Systems 34, 29335-29347, 2021
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