| Inferring the effectiveness of government interventions against COVID-19 JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ... Science 371 (6531), eabd9338, 2021 | 1016 | 2021 |
| Toward trustworthy AI development: mechanisms for supporting verifiable claims M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ... arXiv preprint arXiv:2004.07213, 2020 | 325 | 2020 |
| 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 | 227 | 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 | 88 | 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 | 37 | 2022 |
| The effectiveness and perceived burden of nonpharmaceutical interventions against COVID-19 transmission: a modelling study with 41 countries JM Brauner, S Mindermann, M Sharma, AB Stephenson, T Gavenčiak, ... medRxiv, 2020.05. 28.20116129, 2020 | 33 | 2020 |
| Toward trustworthy AI development: mechanisms for supporting verifiable claims (2020) M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ... arXiv preprint arXiv:2004.07213, 2020 | 17 | 2020 |
| Early human judgment forecasts of human monkeypox, May 2022 T McAndrew, MS Majumder, AA Lover, S Venkatramanan, P Bocchini, ... The Lancet Digital Health 4 (8), e569-e571, 2022 | 15 | 2022 |
| Estimating training compute of deep learning models J Sevilla, L Heim, M Hobbhahn, T Besiroglu, A Ho, P Villalobos Epoch, January 20, 2022 | 13 | 2022 |
| Toward trustworthy AI development: Mechanisms for supporting verifiable claims. arXiv 2020 M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ... arXiv preprint arXiv:2004.07213, 2004 | 11 | 2004 |
| Algorithmic progress in computer vision E Erdil, T Besiroglu arXiv preprint arXiv:2212.05153, 2022 | 10 | 2022 |
| Trends in GPU price-performance M Hobbhahn, T Besiroglu EPOCH. June 27, 2022 | 9 | 2022 |
| Aggregating human judgment probabilistic predictions of the safety, efficacy, and timing of a COVID-19 vaccine T McAndrew, J Cambeiro, T Besiroglu Vaccine 40 (15), 2331-2341, 2022 | 8* | 2022 |
| Chimeric forecasting: combining probabilistic predictions from computational models and human judgment T McAndrew, A Codi, J Cambeiro, T Besiroglu, D Braun, E Chen, ... BMC Infectious Diseases 22 (1), 833, 2022 | 7 | 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 |
| 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 | 7 | 2022 |
| Explosive growth from AI automation: A review of the arguments E Erdil, T Besiroglu arXiv preprint arXiv:2309.11690, 2023 | 4 | 2023 |
| Economic impacts of AI-augmented R&D T Besiroglu, N Emery-Xu, N Thompson arXiv preprint arXiv:2212.08198, 2022 | 3 | 2022 |
| The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny? T Besiroglu, SA Bergerson, A Michael, L Heim, X Luo, N Thompson arXiv preprint arXiv:2401.02452, 2024 | 2 | 2024 |
| Please Report Your Compute J Sevilla, A Ho, T Besiroglu Communications of the ACM 66 (5), 30-32, 2023 | 2 | 2023 |
