bookmarks (hide)340
- A classification of all possible chart types classified following the input data format.
- Autocoders are a family of neural network models aiming to learn compressed latent variables of high-dimensional data. Starting from the basic autocoder mode...
publications (hide)1329
- (2022)cite arxiv:2203.08913Comment: Published as a conference paper at ICLR 2022 (spotlight).
- Proc. 18th International Conf. on Machine Learning , page 282--289. Morgan Kaufmann, San Francisco, CA, (2001)
- (2020)
- Proceedings of the 12th Language Resources and Evaluation Conference , page 803--812. Marseille, France, European Language Resources Association, (May 2020)
- Proceedings of the 12th Language Resources and Evaluation Conference , page 835--841. Marseille, France, European Language Resources Association, (May 2020)
- (2022)cite arxiv:2203.11370Comment: ICLR Oral 2022. Code: https://github.com/rosewang2008/language_modeling_via_stochastic_processes.
- CoRR (2020)
- Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature , page 49--56. Punta Cana, Dominican Republic (online), Association for Computational Linguistics, (November 2021)
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , page 4658--4664. (2019)
- Proceedings of the AAAI Conference on Artificial Intelligence , 34, page 7456--7463. (2020)
- Proceedings of the Language Resources and Evaluation Conference (LREC) , (May 2020)
- Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference , (November 2021)
- Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature , page 129--138. Santa Fe, New Mexico, Association for Computational Linguistics, (August 2018)
- CoRR (2020)
- (2021)cite arxiv:2108.06816Comment: ICCV 2021. 8 pages, References (2 pages), Appendix (3 pages), 6 figures.
- (2021)
- (2020)cite arxiv:2004.07296.
- SN Applied Sciences (April 2020)
- KI 2021: Advances in Artificial Intelligence , page 51--66. Cham, Springer International Publishing, (2021)
- International conference on machine learning , page 3319--3328. PMLR, (2017)
