Ho, Anson

Compute Trends Across Three Eras of Machine Learning

Sevilla, J., Heim, L., Ho, A., Besiroglu, T., Hobbhahn, M., & Villalobos, P. (2022) · 2022 International Joint Conference on Neural Networks (IJCNN)

Parallel Computing and Optimization TechniquesArtificial Intelligence Applications

Cited by 363

Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks

Räuker, T., Ho, A., Casper, S., & Hadfield-Menell, D. (2023) · 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 122

Will we run out of data? Limits of LLM scaling based on human-generated data

Villalobos, P., Ho, A., Sevilla, J., Besiroglu, T., Heim, L., & Hobbhahn, M. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 80

Algorithmic progress in language models

Ho, A., Besiroglu, T., Erdil, E., Owen, D., Rahman, R., Guo, Z. C., Atkinson, D., Thompson, N., & Sevilla, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16

International AI Safety Report

Bengio, Y., Mindermann, S., Privitera, D., Besiroglu, T., Bommasani, R., Casper, S., Choi, Y., Fox, P., Garfinkel, B., Goldfarb, D., et al. (2025) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 16