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2020 – today
- 2024
[c3]Nikhil Sardana, Jacob Portes, Sasha Doubov, Jonathan Frankle:
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws. ICML 2024- [i4]Nikhil Sardana, Jonathan Frankle:
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws. CoRR abs/2401.00448 (2024) - 2023
- [c2]Jacob Portes, Alexander Trott, Sam Havens, Daniel King, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle:
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining. NeurIPS 2023 - [i3]Jacob Portes, Alex Trott, Sam Havens, Daniel King, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle:
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining. CoRR abs/2312.17482 (2023) - 2022
- [c1]Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn:
Autonomous Reinforcement Learning: Formalism and Benchmarking. ICLR 2022 - 2021
- [i2]Vivek Myers, Nikhil Sardana:
Bayesian Meta-Learning Through Variational Gaussian Processes. CoRR abs/2110.11044 (2021) - [i1]Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn:
Autonomous Reinforcement Learning: Formalism and Benchmarking. CoRR abs/2112.09605 (2021)
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