OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models

Enshu Liu, Xuefei Ning, Zinan Lin 0001, Huazhong Yang, Yu Wang 0002. OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 21915-21936, PMLR, 2023. [doi]

@inproceedings{LiuN0Y023,
  title = {OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models},
  author = {Enshu Liu and Xuefei Ning and Zinan Lin 0001 and Huazhong Yang and Yu Wang 0002},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/liu23ab.html},
  researchr = {https://researchr.org/publication/LiuN0Y023},
  cites = {0},
  citedby = {0},
  pages = {21915-21936},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}