Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

M. Wortsman, G. Ilharco, S. Gadre, R. Roelofs, R. Lopes, A. Morcos, H. Namkoong, A. Farhadi, Y. Carmon, S. Kornblith, and L. Schmidt. ICML, volume 162 of Proceedings of Machine Learning Research, page 23965-23998. PMLR, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Other publications of authors with the same name

Does progress on ImageNet transfer to real-world datasets?A. Fang, S. Kornblith, and L. Schmidt. CoRR, (2023)Probing clustering in neural network representations.T. Nguyen, and S. Kornblith. CoRR, (2023)Meta-learning to Improve Pre-training.A. Raghu, J. Lorraine, S. Kornblith, M. McDermott, and D. Duvenaud. NeurIPS, page 23231-23244. (2021)Big Self-Supervised Models Advance Medical Image Classification.S. Azizi, B. Mustafa, F. Ryan, Z. Beaver, J. Freyberg, J. Deaton, A. Loh, A. Karthikesalingam, S. Kornblith, T. Chen and 2 other author(s). ICCV, page 3458-3468. IEEE, (2021)Subclass Distillation.R. Müller, S. Kornblith, and G. Hinton. CoRR, (2020)Revisiting Spatial Invariance with Low-Rank Local Connectivity.G. Elsayed, P. Ramachandran, J. Shlens, and S. Kornblith. ICML, volume 119 of Proceedings of Machine Learning Research, page 2868-2879. PMLR, (2020)Generalised Lipschitz Regularisation Equals Distributional Robustness.Z. Cranko, Z. Shi, X. Zhang, R. Nock, and S. Kornblith. ICML, volume 139 of Proceedings of Machine Learning Research, page 2178-2188. PMLR, (2021)When does label smoothing help?R. Müller, S. Kornblith, and G. Hinton. NeurIPS, page 4696-4705. (2019)Cerberus: A Multi-headed Derenderer.B. Deng, S. Kornblith, and G. Hinton. CoRR, (2019)Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?C. Freeman, L. Culp, A. Parisi, M. Bileschi, G. Elsayed, A. Rizkowsky, I. Simpson, A. Alemi, A. Nova, B. Adlam and 20 other author(s). CoRR, (2023)

BibSonomy

Disambiguation of "Kornblith, Simon"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Please choose a person to relate this publication to

Marcus Simon

Christine Simon

Simon Schilling

Simon Hohenester

Simon Pingel

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kornblith, Simon"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Please choose a person to relate this publication to

Marcus Simon

Christine Simon

Simon Schilling

Simon Hohenester

Simon Pingel

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.