Scholar
Ludwig Schmidt
Google Scholar ID: SWMKy70AAAAJ
Stanford University and Anthropic
Citations & Impact
Citations
43,212
H-index
55
i10-index
87
Publications
20
Co-authors
79
list available
Publications
Resume (English only)
Academic Achievements
- DataComp-LM: In search of the next generation of training sets for language models, NeurIPS 2024
- DataComp: In search of the next generation of multimodal datasets, NeurIPS 2023
- LAION-5B: An open large-scale dataset for training next generation image-text models, NeurIPS 2022, Outstanding paper award
- Robust fine-tuning of zero-shot models, CVPR 2022, Best paper finalist
- Retiring Adult: New Datasets for Fair Machine Learning, NeurIPS 2021 & EAAMO 2021, New Horizons Award
- Measuring Robustness to Natural Distribution Shifts in Image Classification, NeurIPS 2020
- Do ImageNet Classifiers Generalize to ImageNet?, ICML 2019
- Towards Deep Learning Models Resistant to Adversarial Attacks, ICLR 2018
- Practical and Optimal LSH for Angular Distance, NIPS 2015
Research Experience
- Assistant professor at Stanford in the Computer Science Department and Stanford Data Science; member of the technical staff at Anthropic and LAION.
Education
- PhD thesis 'Algorithms Above the Noise Floor', 2018, MIT, George M. Sprowls Award (for best PhD theses in computer science at MIT).
Background
- Assistant professor at Stanford in the Computer Science Department and Stanford Data Science. Research interests revolve around the foundations of machine learning, often with a focus on datasets, multimodality, reliable generalization, and language models.
Miscellany
- Personal interests and hobbies not mentioned.
