COAT: Measuring Object Compositionality in Emergent Representations

Sirui Xie, Ari S. Morcos, Song Chun Zhu, Ramakrishna Vedantam. COAT: Measuring Object Compositionality in Emergent Representations. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 24388-24413, PMLR, 2022. [doi]

@inproceedings{XieMZV22,
  title = {COAT: Measuring Object Compositionality in Emergent Representations},
  author = {Sirui Xie and Ari S. Morcos and Song Chun Zhu and Ramakrishna Vedantam},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/xie22b.html},
  researchr = {https://researchr.org/publication/XieMZV22},
  cites = {0},
  citedby = {0},
  pages = {24388-24413},
  booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
  editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
  volume = {162},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}