Search Results for author: Jorge Pérez

Found 12 papers, 4 papers with code

QuickCent: a fast and frugal heuristic for harmonic centrality estimation on scale-free networks

no code implementations2 Mar 2023 Francisco Plana, Andrés Abeliuk, Jorge Pérez

Our experiments show that QuickCent is able to make estimates that are competitive in accuracy with the best alternative methods tested, either on synthetic scale-free networks or empirical networks.

Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios

1 code implementation5 Sep 2022 Cinthia Sánchez, Hernan Sarmiento, Andres Abeliuk, Jorge Pérez, Barbara Poblete

In this work, we study the task of automatically classifying messages that are related to crisis events by leveraging cross-language and cross-domain labeled data.

Management

Foundations of Symbolic Languages for Model Interpretability

1 code implementation NeurIPS 2021 Marcelo Arenas, Daniel Baez, Pablo Barceló, Jorge Pérez, Bernardo Subercaseaux

Several queries and scores have recently been proposed to explain individual predictions over ML models.

Online graph nets

no code implementations29 Sep 2021 Hojin Kang, Jou-Hui Ho, Diego Mesquita, Jorge Pérez, Amauri H Souza

To avoid temporal message passing, OGN maintains a summary of the temporal neighbors of each node in a latent variable and updates it as events unroll, in an online fashion.

Link Prediction

Cross-lingual hate speech detection based on multilingual domain-specific word embeddings

no code implementations30 Apr 2021 Aymé Arango, Jorge Pérez, Barbara Poblete

Our proposal constitutes, to the best of our knowledge, the first attempt for constructing multilingual specific-task representations.

Hate Speech Detection Transfer Learning +1

A Comprehensive Review of the Video-to-Text Problem

1 code implementation27 Mar 2021 Jesus Perez-Martin, Benjamin Bustos, Silvio Jamil F. Guimarães, Ivan Sipiran, Jorge Pérez, Grethel Coello Said

When the visual information is related to videos, this takes us into Video-Text Research, which includes several challenging tasks such as video question answering, video summarization with natural language, and video-to-text and text-to-video conversion.

Question Answering Retrieval +5

Model Interpretability through the Lens of Computational Complexity

no code implementations NeurIPS 2020 Pablo Barceló, Mikaël Monet, Jorge Pérez, Bernardo Subercaseaux

We prove that this notion provides a good theoretical counterpart to current beliefs on the interpretability of models; in particular, we show that under our definition and assuming standard complexity-theoretical assumptions (such as P$\neq$NP), both linear and tree-based models are strictly more interpretable than neural networks.

The Logical Expressiveness of Graph Neural Networks

no code implementations ICLR 2020 Pablo Barceló, Egor V. Kostylev, Mikael Monet, Jorge Pérez, Juan Reutter, Juan Pablo Silva

We show that this class of GNNs is too weak to capture all FOC2 classifiers, and provide a syntactic characterization of the largest subclass of FOC2 classifiers that can be captured by AC-GNNs.

Attribute

Predicting Unplanned Readmissions with Highly Unstructured Data

no code implementations19 Mar 2020 Constanza Fierro, Jorge Pérez, Javier Mora

Deep learning techniques have been successfully applied to predict unplanned readmissions of patients in medical centers.

Laconic Image Classification: Human vs. Machine Performance

no code implementations25 Sep 2019 Javier Carrasco, Aidan Hogan, Jorge Pérez

Given a classifier and a test image, we compute an approximate minimal-entropy positive image for which the classifier provides a correct classification, becoming incorrect upon any further reduction.

Classification Image Classification

On the Turing Completeness of Modern Neural Network Architectures

no code implementations ICLR 2019 Jorge Pérez, Javier Marinković, Pablo Barceló

Alternatives to recurrent neural networks, in particular, architectures based on attention or convolutions, have been gaining momentum for processing input sequences.

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