Compute trends across three eras of machine learning J Sevilla, L Heim, A Ho, T Besiroglu, M Hobbhahn, P Villalobos 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 156 | 2022 |
Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning P Villalobos, J Sevilla, L Heim, T Besiroglu, M Hobbhahn, A Ho arXiv preprint arXiv:2211.04325, 2022 | 43 | 2022 |
Red-Teaming the Stable Diffusion Safety Filter J Rando, D Paleka, D Lindner, L Heim, F Tramèr ML Safety Workshop NeurIPS 2022, 2022 | 32 | 2022 |
Measuring what Really Matters: Optimizing Neural Networks for TinyML L Heim, A Biri, Z Qu, L Thiele arXiv preprint arXiv:2104.10645, 2021 | 30 | 2021 |
Machine learning model sizes and the parameter gap P Villalobos, J Sevilla, T Besiroglu, L Heim, A Ho, M Hobbhahn arXiv preprint arXiv:2207.02852, 2022 | 20 | 2022 |
Towards best practices in AGI safety and governance: A survey of expert opinion J Schuett, N Dreksler, M Anderljung, D McCaffary, L Heim, E Bluemke, ... arXiv preprint arXiv:2305.07153, 2023 | 16 | 2023 |
Parameter, Compute and Data Trends in Machine Learning J Sevilla, P Villalobos, JF Cerón, M Burtell, L Heim, AB Nanjajjar, A Ho, ... https://epochai.org/data/mlinputs, 2021 | 12 | 2021 |
Estimating training compute of Deep Learning models J Sevilla, L Heim, A Ho, M Hobbhahn, T Besiroglu, P Villalobos https://epochai.org/blog/estimating-training-compute, 2022 | 7 | 2022 |
Estimating PaLM’s training cost L Heim https://blog.heim.xyz/palm-training-cost/, 2022 | 5 | 2022 |
International Governance of Civilian AI: A Jurisdictional Certification Approach R Trager, B Harack, A Reuel, A Carnegie, L Heim, L Ho, S Kreps, R Lall, ... Oxford Martin AI Governance Initiative Report, 2023 | 4 | 2023 |
Some like it, some do not: behavioral responses and central processing of olfactory–trigeminal mixture perception FS Müschenich, T Sichtermann, ME Di Francesco, R Rodriguez-Raecke, ... Brain Structure and Function 226, 247-261, 2021 | 3 | 2021 |
Information security considerations for AI and the long term future J Ladish, L Heim https://blog.heim.xyz/information-security-considerations-for-ai/, 2022 | 2 | 2022 |
Compute Funds and Pre-trained Models M Anderljung, L Heim, T Shevlane https://www.governance.ai/post/compute-funds-and-pre-trained-models 13, 2022 | 1* | 2022 |
Compute at Scale--A Broad Investigation into the Data Center Industry K Pilz, L Heim arXiv preprint arXiv:2311.02651, 2023 | | 2023 |
Trends in Machine Learning Hardware M Hobbhahn, L Heim, G Aydos https://epochai.org/blog/trends-in-machine-learning-hardware, 2023 | | 2023 |
Oversight for Frontier AI through a Know-Your-Customer Scheme for Compute Providers J Egan, L Heim arXiv preprint arXiv:2310.13625, 2023 | | 2023 |
What Should the Global Summit on AI Safety Try to Accomplish? B Garfinkel, L Heim https://www.governance.ai/post/what-should-the-global-summit-on-ai-safety …, 2023 | | 2023 |
National Priorities for Artificial Intelligence (Response to the OSTP Request for Information) J Schuett, M Anderljung, L Heim, E Seger https://www.governance.ai/research-paper/national-priorities-for-artificial …, 2023 | | 2023 |
Response to the NTIA AI Accountability Policy E Thornton, J Schuett, M Anderljung, L Heim https://www.governance.ai/research-paper/response-to-the-ntia-ai …, 2023 | | 2023 |
Response to the UK's Future of Compute Review J Whittlestone, S Avin, L Heim, M Anderljung, G Sastry https://www.governance.ai/research-paper/response-to-the-uks-future-of …, 2023 | | 2023 |