Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. Enriching word vectors with subword information. Transactions of the Association for Computational Linguistics, 5:135-146, 2017. doi: 10.1162/tacl_a_00051. URL https://aclanthology.org/Q17-1010.
Samuel L. Smith, David H. P. Turban, Steven Hamblin, and Nils Y. Hammerla. Offline bilingual word vectors, orthogonal transformations and the inverted softmax. In 5th International Conference on Learning Representations, ICLR 2017, Toulouse, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net, 2017. URL https://openreview.net/forum?id=r1Aab85gg.
Yamini Bansal, Preetum Nakkiran, and Boaz Barak. Revisiting model stitching to compare neural representations. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, and Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, pages 225-236, 2021. URL https://proceedings.neurips.cc/paper/2021/bitex/01ded4259d101feb739b06c399e9cd9c-AAbstract.html.
Michael Gygli, Jasper Uijlings, and Vittorio Ferrari. Towards reusable network components by learning compatible representations. AAAI, 35(9):7620-7629, 2021.
Niccolo Biondi an. Cores: Compatible representations via stationarity. ArXiv preprint, abs/2111.07632, 2021. URL https://arxiv.org/abs/2111.07632.
Muammer Y. Yaman, Sergei V. Kalinin, Kathryn N. Guye, David Ginger, and Maxim Ziatdinov. Learning and predicting photonic responses of plasmonic nanoparticle assemblies via dual variational autoencoders. ArXiv preprint, abs/2208.03861, 2022. URL https://arxiv.org/abs/2208.03861.
Federico Bianchi an. Fantastic embeddings and how to align them: Zero-shot inference i. ArXiv preprint, abs/2007.14906, 2020. URL https://arxiv.org/abs/2007.14906.
Zorah Lähner and Michael Moeller. On the direct alignment of latent spaces. In UniReps: the First Workshop on Unifying Representations in Neural Models, 2023. URL https://openreview.net/forum?id=nro8tEfIfw.
Alex H. Williams, Erin Kunz, Simon Kornblith, and Scott W. Linderman. Generalized shape metrics on neural representations. In Advances in Neural Information Processing Systems, volume 34, 2021.
Eduard Hovy, Laurie Gerber, Ulf Hermjakob, Chin-Yew Lin, and Deepak Ravichandran. Toward semantics-based answer pinpointing. In Proceedings of the First International Conference on Human Language Technology Research, 2001. URL https://www.aclweb.org/anthology/H01-1069.
Xin Li and Dan Roth. Learning question classifiers. In COLING 2002: The 19th International Conference on Computational Linguistics, 2002. URL https://www.aclweb.org/anthology/C02-1150.
Soren Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. DBpedia: A nucleus for a web of open data. In *The Semantic Web*, pages 722-735. Springer Berlin Heidelberg, 2007.
Zhen Wang, Xu Shan, Xiangxie Zhang, and Jie Yang. N24news: A new dataset for multimodal news classification. In Proceedings of the Language Resources and Evaluation Conference, pages 6768-6775, Marseille, France, 2022. European Language Resources Association. URL https://aclanthology.org/2022.lrec-1.729.
Xiang Zhang, Junbo Jake Zhao, and Yann LeCun. Character-level convolutional networks for text classification. In NIPS, 2015.
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. Learning word vectors for sentiment analysis. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 142-150, Portland, Oregon, USA, June 2011. Association for Computational Linguistics. URL http://www.aclweb.org/anthology/P11-1015.