Akata, Zeynep Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;
https://openreview.net/pdf?id=wUNPmdE273 (Any fulltext)
https://papers.nips.cc/paper_files/paper/2023/file/beba7cfdac084a0f53f378d42cbe2824-Paper-Conference.pdf (Publisher version)
Chaudhuri, A., Mancini, M., Akata, Z., & Dutta, A. (2023). Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships. In A. Oh, T. Neumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), Advances in Neural Information Processing Systems 36 (pp. 60661-60684). Curran Associates, Inc.
