Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales

1 code implementation • 3 Apr 2024 • Lucas E. Resck, Marcos M. Raimundo, Jorge Poco

By leveraging a multi-objective optimization algorithm, we explore the trade-off between the two loss functions and generate a Pareto-optimal frontier of models that balance performance and plausibility.

Contrastive Learning Hate Speech Detection +3

Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators from High-Resolution Orthographic Imagery and Hybrid Learning

1 code implementation • 28 Sep 2023 • Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, Joao Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Claudio Silva

Many areas of the world are without basic information on the socioeconomic well-being of the residing population due to limitations in existing data collection methods.

WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification

2 code implementations • 29 Aug 2023 • Felipe Moreno-Vera, Edgar Medina, Jorge Poco

Currently, style augmentation is capturing attention due to convolutional neural networks (CNN) being strongly biased toward recognizing textures rather than shapes.

Image Classification Style Transfer

ChartText: Linking Text with Charts in Documents

no code implementations • 13 Jan 2022 • Joao Pinheiro, Jorge Poco

We present ChartText, a method that links text with visualizations in this work.

Reading Comprehension