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ORCIDAbhinav Venigalla
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2020 – today
- 2024
[i5]Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, David Hall, Betty Xiong, Tony Lee, Roxana Daneshjou, Jonathan Frankle, Percy Liang, Michael Carbin, Christopher D. Manning:
BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text. CoRR abs/2403.18421 (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 - [i4]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) - 2021
- [c1]Atli Kosson, Vitaliy Chiley, Abhinav Venigalla, Joel Hestness, Urs Köster:
Pipelined Backpropagation at Scale: Training Large Models without Batches. MLSys 2021 - [i3]Valentina Popescu, Abhinav Venigalla, Di Wu, Robert Schreiber:
Representation range needs for 16-bit neural network training. CoRR abs/2103.15940 (2021) - 2020
- [i2]Atli Kosson, Vitaliy Chiley, Abhinav Venigalla, Joel Hestness, Urs Köster:
Pipelined Backpropagation at Scale: Training Large Models without Batches. CoRR abs/2003.11666 (2020) - [i1]Abhinav Venigalla, Atli Kosson, Vitaliy Chiley, Urs Köster:
Adaptive Braking for Mitigating Gradient Delay. CoRR abs/2007.01397 (2020)
Coauthor Index
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