3 papers
cs.LG2025
One Period to Rule Them All: Identifying Critical Learning Periods in Deep Networks
Vinicius Yuiti Fukase, Heitor Gama, Barbara Bueno +3
Critical Learning Periods comprehend an important phenomenon involving deep learning, where early epochs play a decisive role in the success of many training recipes, such as data…
cs.CL2024
No Argument Left Behind: Overlapping Chunks for Faster Processing of Arbitrarily Long Legal Texts
Israel Fama, Bárbara Bueno, Alexandre Alcoforado +3
In a context where the Brazilian judiciary system, the largest in the world, faces a crisis due to the slow processing of millions of cases, it becomes imperative to develop effici…
cs.CL2024
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning
Alexandre Alcoforado, Thomas Palmeira Ferraz, Lucas Hideki Okamura +5
A major challenge in Natural Language Processing is obtaining annotated data for supervised learning. An option is the use of crowdsourcing platforms for data annotation. However,…