2 code implementations • 22 Feb 2024 • Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin
The versatility of large language models (LLMs) led to the creation of diverse benchmarks that thoroughly test a variety of language models' abilities.
no code implementations • 7 Dec 2023 • Felipe Maia Polo, Mikhail Yurochkin, Moulinath Banerjee, Subha Maity, Yuekai Sun
We develop methods for estimating Fr\'echet bounds on (possibly high-dimensional) distribution classes in which some variables are continuous-valued.
no code implementations • 2 Oct 2023 • Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric Xing, Mikhail Yurochkin
Training AI models that generalize across tasks and domains has long been among the open problems driving AI research.
1 code implementation • NeurIPS 2023 • Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee
Conditional independence (CI) testing is a fundamental and challenging task in modern statistics and machine learning.
2 code implementations • 17 May 2022 • Felipe Maia Polo, Rafael Izbicki, Evanildo Gomes Lacerda Jr, Juan Pablo Ibieta-Jimenez, Renato Vicente
It is versatile, suitable for regression and classification tasks, and accommodates diverse data forms - tabular, text, or image.
1 code implementation • 5 Oct 2021 • Felipe Maia Polo, Gabriel Caiaffa Floriano Mendonça, Kauê Capellato J. Parreira, Lucka Gianvechio, Peterson Cordeiro, Jonathan Batista Ferreira, Leticia Maria Paz de Lima, Antônio Carlos do Amaral Maia, Renato Vicente
We present and make available pre-trained language models (Phraser, Word2Vec, Doc2Vec, FastText, and BERT) for the Brazilian legal language, a Python package with functions to facilitate their use, and a set of demonstrations/tutorials containing some applications involving them.
1 code implementation • 12 Jul 2021 • Carmen Melo Toledo, Guilherme Mendes Bassedon, Jonathan Batista Ferreira, Lucka de Godoy Gianvechio, Carlos Guatimosim, Felipe Maia Polo, Renato Vicente
Student's grade retention is a key issue faced by many education systems, especially those in developing countries.
1 code implementation • 2 Oct 2020 • Felipe Maia Polo, Renato Vicente
Hence, in this paper, we focus on building a unified view connecting the ESS, data dimensionality, and generalization in the context of covariate shift adaptation.
1 code implementation • 13 Mar 2020 • Felipe Maia Polo, Itamar Ciochetti, Emerson Bertolo
The objective of this paper is to develop predictive models to classify Brazilian legal proceedings in three possible classes of status: (i) archived proceedings, (ii) active proceedings, and (iii) suspended proceedings.