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Noah Fiedel
Noah Fiedel
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Verified email at engineeralum.berkeley.edu
Title
Cited by
Cited by
Year
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
40052023
Towards a human-like open-domain chatbot
D Adiwardana, MT Luong, DR So, J Hall, N Fiedel, R Thoppilan, Z Yang, ...
arXiv preprint arXiv:2001.09977, 2020
10772020
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
8652022
Tfx: A tensorflow-based production-scale machine learning platform
D Baylor, E Breck, HT Cheng, N Fiedel, CY Foo, Z Haque, S Haykal, ...
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
4552017
Tensorflow-serving: Flexible, high-performance ml serving
C Olston, N Fiedel, K Gorovoy, J Harmsen, L Lao, F Li, V Rajashekhar, ...
arXiv preprint arXiv:1712.06139, 2017
3182017
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
2342024
Wt5?! training text-to-text models to explain their predictions
S Narang, C Raffel, K Lee, A Roberts, N Fiedel, K Malkan
arXiv preprint arXiv:2004.14546, 2020
1782020
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
1732024
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
1282023
Talm: Tool augmented language models
A Parisi, Y Zhao, N Fiedel
arXiv preprint arXiv:2205.12255, 2022
1272022
Do transformer modifications transfer across implementations and applications?
S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ...
arXiv preprint arXiv:2102.11972, 2021
117*2021
Storage and distribution of content for a user device group
V Mallet, J Cheng, N Fiedel, EW Gillum, G Ramanarayanan, NJ Woods
US Patent 8,438,233, 2013
982013
Sharing content among a group of devices
V Mallet, J Cheng, N Fiedel, EW Gillum, G Ramanarayanan, NJ Woods
US Patent 8,386,619, 2013
822013
User device group formation
V Mallet, J Cheng, N Fiedel, EW Gillum, G Ramanarayanan, NJ Woods
US Patent 8,539,086, 2013
782013
Pushing tuning parameters for logical group scoring
V Mallet, J Cheng, N Fiedel, EW Gillum, G Ramanarayanan, NJ Woods
US Patent 8,892,653, 2014
682014
Sharing content among multiple devices
V Mallet, J Cheng, N Fiedel, EW Gillum, G Ramanarayanan, NJ Woods
US Patent 8,392,526, 2013
582013
Understanding html with large language models
I Gur, O Nachum, Y Miao, M Safdari, A Huang, A Chowdhery, S Narang, ...
arXiv preprint arXiv:2210.03945, 2022
522022
Levels of AGI: Operationalizing Progress on the Path to AGI
MR Morris, J Sohl-Dickstein, N Fiedel, T Warkentin, A Dafoe, A Faust, ...
arXiv preprint arXiv:2311.02462, 2023
492023
Batching inputs to a machine learning model
N Fiedel, C Olston, J Harmsen
US Patent 10,789,544, 2020
382020
Determining logical groups based on both passive and active activities of user
V Mallet, J Cheng, N Fiedel, EW Gillum, G Ramanarayanan, NJ Woods
US Patent 8,959,153, 2015
372015
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