From post

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

, , , , , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 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.

 

Другие публикации лиц с тем же именем

Structure from Action: Learning Interactions for Articulated Object 3D Structure Discovery., , , и . CoRR, (2022)CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation., , , , и . CVPR, стр. 23171-23181. IEEE, (2023)DataComp-LM: In search of the next generation of training sets for language models., , , , , , , , , и 49 other автор(ы). CoRR, (2024)Language models scale reliably with over-training and on downstream tasks., , , , , , , , , и 13 other автор(ы). CoRR, (2024)Structure from Action: Learning Interactions for 3D Articulated Object Structure Discovery., , , и . IROS, стр. 1222-1229. (2023)Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery., , и . ICCV, стр. 15732-15741. IEEE, (2021)Patching open-vocabulary models by interpolating weights., , , , , , , и . NeurIPS, (2022)Continuous Scene Representations for Embodied AI., , , и . CVPR, стр. 14829-14839. IEEE, (2022)Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time., , , , , , , , , и 1 other автор(ы). ICML, том 162 из Proceedings of Machine Learning Research, стр. 23965-23998. PMLR, (2022)OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models., , , , , , , , , и 6 other автор(ы). CoRR, (2023)