LatinX in AI Research at NeurIPS 2022

The LXAI Workshop at NeurIPS will be a Hybrid Conference with a physical component in New Orleans Ernest N. Morial Convention Center, New Orleans LA on Monday, Nov 28th, 2022 - Dec 9th, 2022.

LatinX in AI Workshop @NeurIPS ‘22

08:00~08:15 — Opening Remarks

Morning

08:15~08:45 — Keynote: Dr. Omar Florez

08:45~08:50 — Keynote: Q&A

08:50~09:40 — Oral Presentations

09:40~10:10 — Keynote: Dr. Graciela Gonzalez-Hernandez

Afternoon

Noon

10:10~10:15 — Keynote: Q&A

10:15~11:05 — Oral Presentations

12:00~13:00 — Lunch

11:05~11:15 — Break

11:15~12:00 — Sponsor Panel: Google

13:00~13:45 — Sponsor Pannel: Meta

13:45~14:15 — Keynote: Dr. Pablo Rivas

14:15~14:20 — Keynote: Q&A

14:20~15:30 — Mentorship Panel

15:30~15:45 — Break

15:45~16:15 — Keynote: Dr. Soledad Villar

16:15~16:20 — Keynote: Q&A

16:20~16:30 — Closing remarks

16:30 — Poster Presentations Hall J

Nov, 28th 2022 | Room 298-299 (Map)

18:00~21:00 — Social: Barcadia (Map)

Keynote Speakers

Nov, 28th 2022 | Room 298-299 (Map)

08:15AM

Dr. Omar Florez

Machine Learning Researcher

Non-Parametric Classifiers Generalize Better To Temporal Changes on Social Media Data without Re-Training

Dr. Florez investigates large-scale deep learning methods that learn multilingual and multimodal representations from human language on Internet scale. He has also deployed neural models that serve millions of users on abuse detection and tweet representations tasks. His previous experience includes Research Manager at Capital One and a Research Scientist at Intel Labs. Omar received the IBM Research Innovation Award, Peru’s Digital Democracy Award, and was recognized as “Role Model in AI” by AI4All.

09:40AM

Dr. Graciela Gonzalez-Hernandez

Vice-Chair of Research and Education,
Comp. Biomed. Dep. Cedars-Sinai Medical Center

Artificial intelligence and Natural Language Processing for Digital Epidemiology: Overcoming the Challenges of RealWorld Data

Dr. Gonzalez-Hernandez and her team at the Health Language Processing (HLP) Lab work on using natural language processing (NLP) and machine learning for knowledge discovery, extracting unstructured information from clinical records, journal articles, and social media postings to elucidate data patterns, trends, and relationships that can aid the discovery process in areas such as pharmacoepidemiology, clinical research, or public health monitoring and surveillance.

01:45PM

Dr. Pablo Rivas

Assistant Professor of Computer Science,
Baylor University

Dr. Rivas’ research areas include deep learning, large-scale data mining, large-scale multidimensional multispectral signal analysis, character-level language models, quantum machine learning, and all the ethical implications of artificial intelligence technology. Dr. Rivas is the director of the NSF-funded Industry-University Collaborative Research Center (IUCRC) for Standards and Ethics in Artificial Intelligence (CSEAI), www.cseai.center.

Trustworthy AI with Adversarial Robustness

03:45PM

Dr. Soledad Villar

Assistant Professor of Applied Math and Statistics,
John Hopkins University

Equivariant Machine Learning from Classical Physics

Dr. Villar’s research interests are in the general area of mathematical data science, including equivariant machine learning and graph neural networks. She co-organizes a mathematics colloquium in Spanish and Portuguese called "Cibercoloquio Latinoamericano de Matemáticas" (www.cibercoloquio.com). Previous talks are posted on the Cibercoloquio's youtube channel. Prior to her current role at Johns Hopkins University, she was a Research Fellow at NYU and UC Berkeley, and she did her PhD in UT Austin advised by Rachel Ward. She is originally from Uruguay, where she completed her undergraduate and masters' degrees.

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.

Attendance Options

The LatinX in AI Workshop will be a Hybrid Event with a physical component at the New Orleans Convention Center, and a virtual component occurring simultaneously. For details about attending the workshop virtually, please visit: https://neurips.cc/virtual/2022/affinity-workshop/50032

Important Dates

Dates are subject to change, so please keep track of our latest schedule published below.

  • Paper Submission Opens - September 2, 2022

  • Paper Submission Deadline (Website) - October 7, 2022

  • Paper Submission Acceptance Notification - October 20, 2022

  • LatinX in AI Mentoring Program Opens - August 1, 2022 (Q4’22 Cohort)

  • LatinX in AI Mentoring Program Deadline (Mentors, Mentees) - October 7, 2022 (Q4’22 Cohort)

  • LatinX in AI Mentoring Match Notification - October 14, 2022 (Q4’22 Cohort)

  • LatinX in AI Mentoring Program Start - October 17, 2022 (Q4’22 Cohort)

  • Program Committee Application Deadline (Application) - October 7, 2022

  • Program Committee Application Acceptance Notification - October 17, 2022

  • Volunteering Application Deadline (Application) - October 28, 2022

  • Volunteering Application Acceptance Notification - November 4, 2022

  • Registration & Travel Grant Application Deadline (Application) - October 28, 2022

  • Registration & Travel Grant Application Acceptance Notification - November 4, 2022

  • Call for Keynote Speakers Deadline (Application) - October 1, 2022

  • Workshop Date - November 28, 2022

Submissions

Overview

We strongly encourage students, post-docs, and researchers who primarily identify as LatinX in all areas of Artificial Intelligence and Machine Learning to submit a paper describing new research. We welcome paper submissions in theory, methodology, and applications. We also welcome papers currently under preparation or submitted for review elsewhere, as the purpose of this workshop is to disseminate LatinX in AI work within the broader community.

Whereas the presenting author need not be the first author of the work, we encourage authors to highlight the contribution of Latinx individuals — particularly the presenting author. 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.

Authors of accepted papers will be asked to present their work in a poster session. A few authors will be selected to give 10–15 minute oral spotlight presentations. 

All accepted extended abstracts and paper submissions will be published as workshop proceedings by LatinX in AI (LXAI) Research. Full papers may be invited for full publication as journal articles if not previously published elsewhere.

All submissions must follow the official conference format (with page count as instructed above), please refer to the NeurIPS 2022 Call for Papers page for additional guidance. The NeurIPS 2022 LaTeX style file includes a “preprint” option for non-anonymous preprints posted online.

Guidelines

This year we are using a Conference Management Toolkit website to manage submissions and the corresponding peer-review process by our program committee. For the LatinX in AI (LXAI) Research Workshop @ NeurIPS 2022 we are accepting two kinds of submissions:

Full-papers: 4 to 8 pages excluding references. We allow supplementary material in another file. Accepted papers of this kind will be part of the official NeurIPS workshop proceedings and presented in the workshop. Note that these papers are expected to present novel research.

Short-papers: Up to 4 pages excluding references. No supplementary material will be allowed. They can present work in progress, exploratory/preliminary research or already published work, or any relevant artificial intelligence applications for Latin America.

Topics of interest include all aspects of computer vision and pattern recognition, for guidance, you can check the topics of interest of conferences such as ECCV, CVPR, and ICCV.

Submissions will be double-blind peer-reviewed and should be submitted as a single PDF file. The submissions should strictly follow the guidelines provided by the aforementioned formatting guidelines to avoid the risk of being rejected without consideration of their merits. Submissions must state the research problem, motivation, and technical contribution. All submissions must be self-contained and include all figures, tables, and references.

Please note that we allow two types of submissions:

Archival: Accepted works will be published in the Journal of LatinX in AI Research as proceedings. See JLXAIR open-access copyright guidelines.

Non-archival: Authors may choose to opt-out of our official publication process, in which case their work will still be listed as being presented at this workshop, but not listed in our official proceedings or issued a DOI for citation tracking purposes.

Presenters

Posters Guidelines

For this year’s event, the size of the poster should be 24 inches (wide) by 36 inches (height), i.e., in portrait mode. Each poster should include the LXAI and NeurIPS logos. Additional instructions can be found in the shared website https://wiki.eventhosts.cc/reference/physical-poster-presenter-instructions, but please note that that we will be able to provide poster boards.

The logos can be found following this link: LXAI and NeurIPS logos.

Accepted Papers

Mentoring Program

LatinX in AI is hosting a new mentoring program alongside our official workshops. The LatinX in AI Mentoring Program requires mentors and mentees to meet once a month. The program for this cohort has begun, but we continue to accept applications throughout the year. Thank you for your interest!

LatinX in AI Workshop Sponsors

We would like to thank the following sponsors for their contributions towards making the LatinX in AI Workshop at NeurIPS 2022 possible. For sponsorship opportunities, please contact us at: sponsor@latinxinai.org.

PLATINUM

GOLD

SILVER

BRONZE

Organizers

Workshop Chairs

  • Operation and Logistics Chairs — Juan Banda (Georgia State University), Miguel Felipe Arevalo-Castiblanco (Rice University)

  • Presentation Chairs — CJ Barberan (Microsoft), Miguel Gonzalez-Mendoza (Tecnológico de Monterrey)

  • Mentorship Chairs — Caio Cesar Medeiros Davi (Texas A&M University), German Olivo (Accel AI), Sara Iris Garcia (NHS Wales), Jorge Guevara (IBM)

  • Program Committee Chairs — Karla Caballero Barajas (Pandora/Sirius), Fanny Nina Paravecino (Microsoft)

  • Public Relations & Website Chairs — Francisco Zabala (Caltech/Amazon), Atnafu Lambebo Tonja (Instituto Politécnico Nacional)

  • Volunteer Chair — Carlos Miranda (Buawei)

  • Finance & Sponsor Chairs — Abraham Ramos (Accel AI), Isabel Metzger (New York University), Fabian Latorre (EPFL), Jorge Mendez (University of Pennsylvania)

  • Visa Chair — Gissella Bejarano (Baylor University)

  • Networking & Social Chair — Andres Muñoz Medina (Google), Andres Marquez (Rivian)

Program Committee

  • Andres Munoz

  • Atnafu Lambebo Tonja

  • Carlos Miranda

  • CJ Barberan

  • Cleber Zanchettin

  • Colin White

  • Heitor Medeiros

  • Isabel Metzger

  • Johan Obando Ceron

  • Karla Caballero Barajas

  • Laura Montoya

  • Lucia Cipolina-Kun

  • Dennis Núñez-Fernández

  • Erum Haris

  • Fanny Nina Paravecino

  • Fernando Wario

  • Francisco Zabala

  • Gissella Bejarano

  • Maria Leonor Pacheco

  • Matias Valdenegro Toro

  • Miguel Arevalo-Castiblanco

  • Sahib Singh

  • Shubhangi Rastogi

  • Vítor Lourenço

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