10 citations · 14 across the 5 of their papers we have counts for
6 papers
Rate-Distortion in Image Coding for Machines
Alon Harell, Anderson De Andrade, Ivan V. Bajic
In recent years, there has been a sharp increase in transmission of images to remote servers specifically for the purpose of computer vision. In many applications, such as surveill…
Graph Representation Learning Network via Adaptive Sampling
Anderson de Andrade, Chen Liu
Graph Attention Network (GAT) and GraphSAGE are neural network architectures that operate on graph-structured data and have been widely studied for link prediction and node classif…
Best Practices for Convolutional Neural Networks Applied to Object Recognition in Images
Anderson de Andrade
This research project studies the impact of convolutional neural networks (CNN) in image classification tasks. We explore different architectures and training configurations with t…
A Comparison of Neural Network Training Methods for Text Classification
Anderson de Andrade
We study the impact of neural networks in text classification. Our focus is on training deep neural networks with proper weight initialization and greedy layer-wise pretraining. Re…
DENS: A Dataset for Multi-class Emotion Analysis
Chen Liu, Muhammad Osama, Anderson de Andrade
We introduce a new dataset for multi-class emotion analysis from long-form narratives in English. The Dataset for Emotions of Narrative Sequences (DENS) was collected from both cla…
Exploring Multilingual Syntactic Sentence Representations
Chen Liu, Anderson de Andrade, Muhammad Osama
We study methods for learning sentence embeddings with syntactic structure. We focus on methods of learning syntactic sentence-embeddings by using a multilingual parallel-corpus au…