| 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 | 396 | 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 Forty-first International Conference on Machine Learning, 2022 | 262* | 2022 |
| Red-Teaming the Stable Diffusion Safety Filter J Rando, D Paleka, D Lindner, L Heim, F Tramèr ML Safety Workshop NeurIPS 2022, 2022 | 170 | 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 | 76 | 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 | 59* | 2023 |
| Computing power and the governance of artificial intelligence G Sastry, L Heim, H Belfield, M Anderljung, M Brundage, J Hazell, ... arXiv preprint arXiv:2402.08797, 2024 | 50 | 2024 |
| Measuring what Really Matters: Optimizing Neural Networks for TinyML L Heim, A Biri, Z Qu, L Thiele arXiv preprint arXiv:2104.10645, 2021 | 45 | 2021 |
| Visibility into AI agents A Chan, C Ezell, M Kaufmann, K Wei, L Hammond, H Bradley, E Bluemke, ... Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024 | 36* | 2024 |
| Open problems in technical ai governance A Reuel, B Bucknall, S Casper, T Fist, L Soder, O Aarne, L Hammond, ... arXiv preprint arXiv:2407.14981, 2024 | 32* | 2024 |
| 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 | 27 | 2023 |
| 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 | 20 | 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 | 19 | 2024 |
| Trends in Machine Learning Hardware M Hobbhahn, L Heim, G Aydos https://epochai.org/blog/trends-in-machine-learning-hardware, 2023 | 18* | 2023 |
| Responsible reporting for frontier AI development N Kolt, M Anderljung, J Barnhart, A Brass, K Esvelt, GK Hadfield, L Heim, ... Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 768-783, 2024 | 15 | 2024 |
| Oversight for frontier AI through a know-your-customer scheme for compute providers J Egan, L Heim arXiv preprint arXiv:2310.13625, 2023 | 15* | 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 | 15 | 2021 |
| Increased Compute Efficiency and the Diffusion of AI Capabilities K Pilz, L Heim, N Brown arXiv preprint arXiv:2311.15377, 2023 | 11 | 2023 |
| Societal adaptation to advanced AI J Bernardi, G Mukobi, H Greaves, L Heim, M Anderljung arXiv preprint arXiv:2405.10295, 2024 | 10 | 2024 |
| Training Compute Thresholds: Features and Functions in AI Governance L Heim arXiv e-prints, arXiv: 2405.10799, 2024 | 8* | 2024 |
| Hardware-Enabled Governance Mechanisms: Developing Technical Solutions to Exempt Items Otherwise Classified Under Export Control Classification Numbers 3A090 and 4A090 G Kulp, P Puri, D Gonzales, MJD Vermeer, E Smith, L Heim, Z Winkelman RAND Corporation, 2024 | 8* | 2024 |
Tamay BesirogluMITPotvrđena adresa e-pošte na mit.edu
