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ORCIDTamay Besiroglu
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2020 – today
- 2024
[c3]Pablo Villalobos, Anson Ho, Jaime Sevilla, Tamay Besiroglu, Lennart Heim, Marius Hobbhahn:
Position: Will we run out of data? Limits of LLM scaling based on human-generated data. ICML 2024- [i10]Tamay Besiroglu, Sage Andrus Bergerson, Amelia Michael, Lennart Heim, Xueyun Luo, Neil Thompson:
The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny? CoRR abs/2401.02452 (2024) - [i9]Anson Ho, Tamay Besiroglu, Ege Erdil, David Owen, Robi Rahman, Zifan Carl Guo, David Atkinson, Neil Thompson, Jaime Sevilla:
Algorithmic progress in language models. CoRR abs/2403.05812 (2024) - [i8]Tamay Besiroglu, Ege Erdil, Matthew Barnett, Josh You:
Chinchilla Scaling: A replication attempt. CoRR abs/2404.10102 (2024) - 2023
- [j1]Jaime Sevilla
, Anson Ho, Tamay Besiroglu:
Please Report Your Compute. Commun. ACM 66(5): 30-32 (2023) - [c2]Anson Ho, Ege Erdil, Tamay Besiroglu:
Limits to the Energy Efficiency of CMOS Microprocessors. ICRC 2023: 1-10 - [i7]Ben Cottier, Tamay Besiroglu, David Owen:
Who is leading in AI? An analysis of industry AI research. CoRR abs/2312.00043 (2023) - [i6]Anson Ho, Ege Erdil, Tamay Besiroglu:
Limits to the Energy Efficiency of CMOS Microprocessors. CoRR abs/2312.08595 (2023) - 2022
- [c1]Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, Pablo Villalobos:
Compute Trends Across Three Eras of Machine Learning. IJCNN 2022: 1-8 - [i5]Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, Pablo Villalobos:
Compute Trends Across Three Eras of Machine Learning. CoRR abs/2202.05924 (2022) - [i4]Pablo Villalobos, Jaime Sevilla, Tamay Besiroglu, Lennart Heim, Anson Ho, Marius Hobbhahn:
Machine Learning Model Sizes and the Parameter Gap. CoRR abs/2207.02852 (2022) - [i3]Pablo Villalobos, Jaime Sevilla, Lennart Heim, Tamay Besiroglu, Marius Hobbhahn, Anson Ho:
Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning. CoRR abs/2211.04325 (2022) - [i2]Ege Erdil, Tamay Besiroglu:
Algorithmic progress in computer vision. CoRR abs/2212.05153 (2022) - 2020
- [i1]Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, J. B. Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif Khan, Yoshua Bengio, Markus Anderljung:
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. CoRR abs/2004.07213 (2020)
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last updated on 2024-10-07 22:23 CEST by the dblp team
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