LatinX in AI Research at NeurIPS 2020

The LXAI Workshop at NeurIPS will be hosted virtually on Monday, December 7th, 2020.

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NeurIPS was planned to take place at Vancouver, Canada but is now being hosted virtually in response to COVID-19 concerns.

REGISTRATION

Call for Participation

The workshop is a one-day event with invited speakers, oral presentations, and posters. The event brings together faculty, graduate students, research scientists, and engineers for an opportunity to connect and exchange ideas. There will be a panel discussion and a mentoring session to discuss current research trends and career choices in artificial intelligence and machine learning. While all presenters will identify primarily as latinx, all are invited to attend.

 

Important Dates

  • September 15th, 2020: Registration to conference opens

  • October 7th, 2020: Program Committee application deadline

  • October 23rd,2020: [LatinX Mentoring Program] Application Due

  • October 18th, 2020: Abstract submission deadline

  • October 21st,2020: Abstract Review deadline

  • October 30th,2020: LatinX in AI Mentoring Program Starts

  • October 30th,2020: [LatinX Mentoring Program] Notification of Acceptance

  • October 25th,2020: Notification of submission acceptances

  • December 1st, 2020: Registration Assistance Application deadline

  • December 7th, 2020: LXAI Workshop

  • December 7th, 2020: LatinX in AI Mentoring Program Ends

 
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Submission Instructions

We strongly encourage students, post-docs and researchers who primarily identify as latinx in all areas of machine learning to submit an abstract describing new, work-in-progress, previously published, or concurrently published research. We welcome abstract submissions in theory, methodology, and applications. While the presenting author needs not be the first author of the work, we encourage authors to highlight the contribution of latinx individuals — particularly the presenting author — in the abstract. While the event focuses primarily on researchers who identify as latinx, everyone is invited to attend. Authors are also encouraged to sign up to review for LXAI, with a sign-up option available upon submission.

Submissions will be double-blind peer-reviewed and may be up to two pages including all figures and tables, with an additional page for references submitted as a PDF. The submissions should strictly follow the guidelines provided by the NeurIPS 2020 Style Template to avoid the risk of being rejected without consideration of their merits. Submissions must state the research problem, motivation, and technical contribution. Submissions must be self-contained and include all figures, tables, and references. Authors of accepted abstracts will be asked to present their work in a poster session. A few authors will be selected to give 10–15 minute oral presentations.

The submission deadline is October 18th, 2020 Anywhere on Earth. Please note that no extensions will be offered for submissions.

 

 

Mentoring Program

LatinX in AI is hosting a new mentoring program alongside our official workshops. The LatinX in AI Mentoring Program requires mentor and mentees to meet once a month, premiering October 16th to the day of the workshop at NeurIPS on December 7th , 2020. On this day, some mentees will be asked to share their experience and the learnings they obtained from the program.

Following the completion of this program, you'll be asked to complete a quick survey about your experience and opportunities for our improvement. Mentors who complete the program and survey are eligible to receive a $25 gift card as a token of appreciation on behalf of LatinX in AI.

 

 

WORKSHOP SPONSORS

 

PLATINUM

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GOLD

 
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SILVER

 
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BRONZE

 
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 KEYNOTE SPEAKERS

ACCEPTED PAPERS

Title Presenting Author Affiliation Presentation Type
Analysis of factors that influence the performance of biometric systems based on EEG signals Dustin Javier Carrion Yachay Tech University Poster
Deep Learning model for wildfire detection through the fusion of visible and infrared information Jorge F Ciprián-Sánchez Tecnológico de Monterrey Poster
Severe Weather Prediction Using Lightning Data Iván Venzor Universidad Autónoma de Nuevo León Oral
Private Reinforcement Learning with PAC and Regret Guarantees Giuseppe Vietri University of Minnesota Oral
Semantic Segmentation of Jet Fire Temperature Zones using Deep Learning Carmina Pérez-Guerrero Tecnológico de Monterrey Poster
Safety Aware Reinforcement Learning (SARL) Santiago Miret Intel Labs Poster
Model Misspecification in Multiple Weak Supervision Salva Rühling Cachay Technical University of Darmstadt Oral
Inferring Aggressive Driving Behavior fromSmartphone Data - Smartphone's sensors meetInception Luis González Universidad Autónoma de Chihuahua Poster
Learning a causal structure: a Bayesian Random Graph approach Mauricio Gonzalez-Soto Instituto Nacional de Astrofisica Optica y Electronica (INAOE) Oral
Robust Asynchronous and Network-Independent Cooperative Learning Eduardo Mojica-Nava PAAS UN - Universidad Nacional de Colombia Poster
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research Johan Samir Obando Ceron UAO Poster
Quantum Machine Learning concepts and applications Javier Andrés Orduz-Ducuara UNAM Poster
Inspecting state of the art performance and NLP metrics in image-based medical report generation Pablo D Pino Pontificia Universidad Católica de Chile Poster
Automatic Georeferencing of Map Images Using Unsupervised Learning and Graph Analysis Enrique J Arriaga-Varela Stroly Inc. Poster
A Quaternion Monogenic Layer Resilient to Large Brightness Changes in Image Classification Eduardo Ulises Moya Gobierno de Jalisco Poster
Unsupervised Difficulty Estimation Matias Valdenegro-Toro University of Bremen Oral
Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning Matias Valdenegro-Toro German Research Center for Artificial Intelligence Poster
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes Juan Luis Gonzalez KAIST-VICLab Oral
An evaluation metric for generative models using hierarchical clustering Gustavo Sutter P. Carvalho Universidade de São Paulo (ICMC-USP) Oral
Covariate Shift Adaptation in High-Dimensional and Divergent Distributions Felipe Maia Polo University of São Paulo and Advanced Institute for Artificial Intelligence (AI2) Poster
Towards forensic speaker identification in Spanish using triplet loss Ivan Vladimir Meza Ruiz Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México Poster
Generative Adversarial Stacked Autoencoders Ariel Ruiz-Garcia ARM Oral
Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks Gefersom G Lima Unisinos Oral
Self-Supervised Transformers for Activity Classification using Ambient Sensors Luke R Hicks Coventry University Poster
Predicting metrical patterns in Spanish poetry with language models Javier de la Rosa UNED Poster
Study, Attend and Predict: Academic Performance Prediction using Transformers Nicolas Araque Universidad Metropolitana Oral
Performance Variability in Zero-Shot Classification Matias Daniel Molina National University of Córdoba Oral
Robust Optimization over Networks Using Distributed Restarting of Accelerated Dynamics Daniel E Ochoa University of Colorado Boulder Oral
Overcoming Transformer Fine-Tuning process to improve Twitter Sentiment Analysis for Spanish Dialects Daniel Alfredo Palomino Paucar Universidad Católica San Pablo Oral
Graph Neural Networks Learn Twitter Bot Behaviour Albert M Orozco Camacho Mila - Québec AI Institute / McGill University Poster
Detecting Damaged Regions after Natural Disasters using Mobile Phone Data: The Case of Ecuador María Belén Guaranda ESPOL Oral
Neural language models for text classification in evidence-based medicine Andres Carvallo Pontificia Universidad Católica de Chile Oral

 ORGANIZERS

 

Workshop Chairs

  • Program Committee Co-Chairs -- Ariel Ruiz-Garcia (SeeChange.ai), Ivan Arraut(The Open University of Hong Kong), Juan M. Banda (Georgia State University)

  • Sponsor & Finance Co-Chairs -- Ignacio Lopez-Francos (NASA Ames Research Center) and Fabian Latorre (EPFL Lausanne)

  • Mentoring and Presentation Chair -- Pedro Magalhães Braga (Universidade Federal de Pernambuco), Karla Caballero Barajas (Pandora/Sirius XM), Sergio Hernan Garrido Mejia (Technical University of Denmark/Amazon), Eduardo Ulises Moya-Sánchez (Gobierno del estado de Jalisco, México), Vinicius Fernandes Caridá (Itaú-Unibanco & GDE)

  • Volunteer Chair -- Carlos Miranda (Buawei)

  • Public Relations Chair & Website Chair-- Gissella Bejarano (Binghamton University), Josué Ortega Caro (Baylor College of Medicine)

 

Program Committee

Thanks to the following members of the LatinX in AI community and supportive allies for helping review the submissions.

  • Alex Fernandes, Itaú Unibanco

  • Andrés Alberto, Universidad El Bosque

  • Andrés Romero, ETH Zürich

  • Anisio Lacerda, UFMG

  • Ariel Ruiz-Garcia, SeeChange.ai

  • Carlos Miranda

  • Cesar Uribe, Massachusetts Institute of Technology

  • Christian Lopez, Lafayette College

  • CJ Barberan, Rice University

  • Dennis Núñez Fernández, Universidad Nacional de Ingeniería

  • Eduardo Ulises Moya, Gobierno de Jalisco

  • Eric K., University of Sao Paulo

  • Erick Tornero, UCSP

  • Francisco Cruz, Deakin University

  • Gilberto Ochoa-Ruiz, Tec de Monterrey

  • Heitor Medeiros, Universidade Federal de Pernambuco

  • Isabela Albuquerque, Institut National de la Recherche Scientifique

  • Iván Venzor, Universidad Autónoma de Nuevo León

  • Jeffri Murrugarra Llerena, National University of Trujillo

  • Jessica Forde, Brown University

  • Jorge Poveda, University of Colorado, Boulder

  • Juan Banda, Georgia State University

  • Laura Montoya, Accel AI

  • Lourdes Ramírez Cerna, National University of Trujillo

  • Maria Pantoja, CalPoly San Luis Obispo

  • Mariza Ferro, National Laboratory for Scientific Computing (LNCC)

  • Marleny Hilasaca, University of Sao Paulo

  • Matias Valdenegro-Toro, German Research Center for Artificial Intelligence

  • Miguel Paredes, Rimac Seguros

  • Nils Murrugarra-Llerena, University of Pittsburgh

  • Pablo Samuel Castro, Google

  • Pedro Braga, Universidade Federal de Pernambuco

  • Roberto Valerio, Amazon

  • Sahib Singh, Ford Research (R&A), OpenMined

  • Sergio Garrido Mejia, DTU

  • Shruti Jadon, IEEE Member, Juniper Networks

  • Urmish Thakker Samba, Nova Systems

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