MCLR: improving conditional modeling in visual generative models by maximizing the inter-class likelihood-ratio. Li, X., Jia, Y., Li, X., Fessler, J. A., Wang, R., & Qu, Q. 2026. To appear, spotlight paper
MCLR: improving conditional modeling in visual generative models by maximizing the inter-class likelihood-ratio [link]Paper  bibtex   
@CONFERENCE{li:26:mic,
 author = {X. Li and Y. Jia and X. Li and J. A. Fessler and R. Wang and Q. Qu},
 title = {{MCLR:} improving conditional modeling in visual generative models by maximizing the inter-class likelihood-ratio},
 booktitle = {{ICML FoGen workshop}},
 code = {https://github.com/Morefre/MCLR-Contrastive-Alignment-for-Improving-Conditional-Modeling},
 note = {To appear, spotlight paper},
 url = {https://openreview.net/forum?id=tma8ubTmy5},
 year = 2026
}

Downloads: 0