LatinX in AI Research at NeurIPS 2020
The LXAI Workshop at NeurIPS will be hosted virtually on Monday, December 7th, 2020.
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
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
GOLD
SILVER
BRONZE
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