Autocoders are a family of neural network models aiming to learn compressed latent variables of high-dimensional data. Starting from the basic autocoder mode...
A. Lauscher, T. Lueken, and G. Glavas. Findings of the Association for Computational Linguistics: EMNLP 2021, Association for Computational Linguistics, (2021)
S. Barikeri, A. Lauscher, I. Vulić, and G. Glavas. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Association for Computational Linguistics, (2021)
F. Schmidt, I. Vulić, and G. Glavas. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, page 10725--10742. Abu Dhabi, United Arab Emirates, Association for Computational Linguistics, (December 2022)