| 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 | 290 | 2022 |
| Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks T Räuker, A Ho, S Casper, D Hadfield-Menell arXiv preprint arXiv:2207.13243, 2022 | 145 | 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 | 142 | 2022 |
| 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 | 58 | 2022 |
| Estimating training compute of Deep Learning models J Sevilla, L Heim, M Hobbhahn, T Besiroglu, A Ho, P Villalobos Epoch, January 20, 2022 | 16 | 2022 |
| Parameter, compute and data trends in machine learning J Sevilla, P Villalobos, JF Cerón, M Burtell, L Heim, AB Nanjajjar, A Ho, ... 2022-05-30]. https://docs. google. com/spreadsheets/d/1AAIebj …, 2021 | 16 | 2021 |
| Algorithmic progress in language models A Ho, T Besiroglu, E Erdil, D Owen, R Rahman, ZC Guo, D Atkinson, ... arXiv preprint arXiv:2403.05812, 2024 | 15 | 2024 |
| Will we run out of data P Villalobos, J Sevilla, L Heim, T Besiroglu, M Hobbhahn, A Ho An analysis of the limits of scaling datasets in Machine Learning, 2022 | 11 | 2022 |
| Trends in training dataset sizes P Villalobos, A Ho Sept, 2022 | 11 | 2022 |
| Compute trends across three eras of machine learning. arXiv J Sevilla, L Heim, A Ho, T Besiroglu, M Hobbhahn, P Villalobos arXiv preprint arXiv:2202.05924, 2022 | 10 | 2022 |
| Compute Trends Across Three Eras of Machine Learning.(2022) J Sevilla, L Heim, A Ho, T Besiroglu, M Hobbhahn, P Villalobos URL: https://arxiv. org/abs/2202.05924. doi 10, 2022 | 7 | 2022 |
| Please Report Your Compute J Sevilla, A Ho, T Besiroglu Communications of the ACM 66 (5), 30-32, 2023 | 5 | 2023 |
| Will we run out of data? an analysis of the limits of scaling datasets in machine learning, 2022 P Villalobos, J Sevilla, L Heim, T Besiroglu, M Hobbhahn, A Ho URL https://arxiv. org/abs/2211.04325, 0 | 5 | |
| Position: Will we run out of data? Limits of LLM scaling based on human-generated data P Villalobos, A Ho, J Sevilla, T Besiroglu, L Heim, M Hobbhahn Forty-first International Conference on Machine Learning, 0 | 5 | |
| Limits to the Energy Efficiency of CMOS Microprocessors A Ho, E Erdil, T Besiroglu 2023 IEEE International Conference on Rebooting Computing (ICRC), 1-10, 2023 | 3 | 2023 |
| Estimating Idea Production: A Methodological Survey E Erdil, T Besiroglu, A Ho arXiv preprint arXiv:2405.10494, 2024 | 1 | 2024 |
| Future-Proof: Monitoring the Development, Deployment, and Impacts of Artificial Intelligence A Ho Journal of Science Policy & Governance 22 (3), 2023 | | 2023 |
| 2022 International Joint Conference on Neural Networks (IJCNN) J Sevilla, L Heim, A Ho, T Besiroglu, M Hobbhahn, P Villalobos IEEE,, 2022 | | 2022 |
| Agarwal, Sapan 148 Agliamzanov, Ramil 1 Aimone, James 6 S Angizi, P Beerel, C Bennett, T Besiroglu, B Bhattacharyya, ... | | |
| 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)| 978-1-6654-6299-0/23/$31.00© 2023 IEEE| DOI: 10.1109/SATML54575. 2023.00051 G Abad, K Acharya, H Aghakhani, U Aïvodji, P Altmeyer, HS Anderson, ... | | |
Jaime SevillaDirector, Epoch在 epochai.org 的电子邮件经过验证
