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Results: 24
Number of items: 24
  • Open Access
    Correia, G., Niculae, V., Aziz, W., & Martins, A. (2021). Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), 34th Concerence on Neural Information Processing Systems (NeurIPS 2020): online, 6-12 December 2020 (Vol. 15, pp. 11789-11802). (Advances in Neural Information Processing Systems; Vol. 33). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2020/hash/887caadc3642e304ede659b734f79b00-Abstract.html
  • Open Access
    Martins, A., Farinhas, A., Treviso, M., Niculae, V., Aguiar, P., & Figueiredo, M. (2021). Sparse and Continuous Attention Mechanisms. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), 34th Concerence on Neural Information Processing Systems (NeurIPS 2020): online, 6-12 December 2020 (Vol. 26, pp. 20989-21001). (Advances in Neural Information Processing Systems; Vol. 33). Neural Information Processing Systems Foundation. https://papers.neurips.cc/paper/2020/hash/f0b76267fbe12b936bd65e203dc675c1-Abstract.html
  • Open Access
    Zantedeschi, V., Kusner, M. J., & Niculae, V. (2021). Learning binary trees by argmin differentiation. Proceedings of Machine Learning Research, 139, 12298-12309. https://proceedings.mlr.press/v139/zantedeschi21a.html
  • Open Access
    Mihaylova, T., Niculae, V., & Martins, A. F. T. (2020). Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. In B. Webber, T. Cohn, Y. He, & Y. Liu (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp. 2186–2202). The Association for Computational Linguistics. https://aclanthology.org/2020.emnlp-main.171/
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