LatinX in AI (LXAI) Research at ICML 2021
This is an official workshop of the LatinX in AI (LXAI) organization at ICML, which will be hosted virtually on Monday, July 19th, 2021.
Go to event latinx @ icml
ICML is being hosted virtually in response to COVID-19 concerns.
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
March 19th, 2021: [LatinX Mentoring Program] Application Due
April 5th, 2021: [LatinX Mentoring Program] Notification of Acceptance
April 5th, 2021: [LatinX Mentoring Program] begins.
April 14th, 2021: Call for Keynote deadline
April 29th, 2021: Program Committee application deadline
April 29th, 2021: Paper Submission deadline
May 6th, 2021: Program Committee Notification deadline
June 11th, 2021: Notification of Submission Acceptance.
June 18th, 2021: Conference Registration.
June 25th, 2021: Poster Camera-Ready Submissions. Download template
June 30th, 2021: Registration and Internet Support Grant Application
July 2nd, 2021: Presentations Paper
July 2nd, 2021: Volunteer Application deadline
July 19th, 2021: LXAI Workshop registration
July 30th, 2021: [LatinX in AI Mentoring Program] Ends.
Submission Instructions
We strongly encourage students, postdocs, and researchers who primarily identify as LatinX in all areas of Machine Learning to submit extended abstracts describing new or work-in-progress research. We welcome submissions in theory, methodology, and applications. Submissions will be peer-reviewed and abstracts which are selected to present will be invited to submit a camera-ready version of their full paper to be included in the Journal of LatinX in AI Research (JLXAIR).
Authors of accepted abstracts will be asked to present their work in a poster session. A few authors will be selected to give oral presentations. Authors accepted to present will be offered presentation coaching.
While the presenting author need not to be the first author of the work, authors are asked to highlight the contribution of LatinX individuals — particularly the presenting author. This information should be included in the end of the paper (after references) as an unnumbered section. Furthermore, although 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.
Submission Requirements
Submissions will be double-blind peer-reviewed and should be submitted as a PDF file through Microsoft CMT. All submissions must be in English and strictly follow the guidelines provided by the ICML 2021 Author Kit to avoid the risk of being rejected without consideration of their merits. Each paper should have up to four pages (including figures, tables, and references).
At the authors' discretion, supplementary material can also be uploaded (as a separate PDF document) to CMT. However, papers must be self-contained, clearly stating the research problem, motivation, and technical contribution, including experimental results when applicable. Please, keep in mind that supplementary materials are not mandatory and may not be considered by reviewers. In other words, simply delegating central elements of the research to the supplementary material will not be tolerated.
The submission deadline is 23:59 April 29th, 2021 AoE. Please note that no extensions will be offered for submissions.
Accepted Papers
Title | Presenting Author | Affiliation | Presentation Type |
---|---|---|---|
A Tree-Adaptation Mechanism for Covariate and Concept Drift | Felipe Leno da Silva | Advanced Institute for Artificial Intelligence & Lawrence Livermore National Laboratory | Poster |
GAN-based Data Mapping for Model Adaptation | Felipe Leno da Silva | Advanced Institute for Artificial Intelligence & Lawrence Livermore National Laboratory | Poster |
Population Dynamics for Discrete Wasserstein Gradient Flows over Networks | Gilberto Díaz-García | University of Los Andes | Poster |
Model Reference Adaptive Control for Online Policy Adaptation and Network Synchronization | Miguel F. Arevalo-Castiblanco | Universidad Nacional de Colombia | Poster |
A multiple strategy for plant species identification using images of leaf texture | Núbia Rosa Da Silva | Federal University of Catalao | Poster |
Computation of Discrete Flows Over Networks via Constrained Wasserstein Barycenters | Ferran Arqué | Universitat Politecnica de Catalunya | Poster |
Mask-net: Detection of Correct Use of Masks Through Computer Vision | Alexander Kalen Targa | Universidad Metropolitana | Poster |
Ceramic Cracks Segmentation with Deep Learning | Gerivan C. S. Junior | University of Pernambuco | Poster |
Sparse Data Generation for Particle-Based Simulation of Hadronic Jets in the LHC | Breno Orzari | SPRACE-Unesp | Poster |
Community pooling: LDA topic modeling in Twitter | Federico Albanese | Universidad de Buenos Aires | Poster |
Image Inpainting Applied to Art: Completing Escher's Print Gallery | Lucia Cipolina-Kun | ML Collective | Poster |
Effects of personality traits in predicting grade retention in Brazilian students | Lucka de Godoy Gianvechio | Universidade de Sao Paulo | Poster |
Computation-Aware Distributed Optimization over Networks: A Hybrid Dynamical Systems Approach | Daniel E. Ochoa | University of Colorado Boulder | Poster |
Long Short-Term Memory with Slower Information Decay | Javier S. Turek | Intel Labs | Poster |
Towards Explainable Deep Reinforcement Learning for Traffic Signal Control | Lincoln V. Schreiber | Universidade do Vale do Rio dos Sinos | Poster |
Anticipating faults by predicting non-linearity of environment variables with neural networks: a case study in semiconductor manufacturing | Mateus B. Melchiades | Universidade do Vale do Rio dos Sinos | Poster |
Aspect-based Sentiment Analysis using BERT with Disentangled Attention | Ricardo Marcondes Marcacini | University of Sao Paulo | Poster |
Spatial Attention Adapted to a LSTM Architecture with Frame Selection for Human Action Recognition in Videos | Carlos I Orozco | Universidad Nacional de Salta | Poster |
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection | Lucas Nunes Alegre | Federal University of Rio Grande do Sul | Poster |
Convolutional Neural Networks Evaluation for COVID-19 Classification on Chest Radiographs | Felipe Zeiser | Universidade do Vale do Rio dos Sinos | Poster |
Vehicle-counting with automatic Region-of-Interest and Driving-Trajectory detection | Christian Lopez | Lafayette College | Poster |
OCDE: Odds Conditional Density Estimator | Felipe Maia Polo | University of Michigan & Advanced Institute for Artificial Intelligence (AI2) | Poster |
Generalized linear tree: a flexible algorithm for predicting continuous variables | Alex A Okuno | University of Sao Paulo | Poster |
Deep Neural Network Uncertainty Estimation with Stochastic Inputs for Robust Aerial Navigation Policies | Fabio Arnez | Universite Paris-Saclay | Poster |
Call for Volunteers
LatinX in AI is in need of key support for all the activities that LXAI brings to our community. Volunteers are scheduled as needed for specific roles including registration table, timekeeper, social media liaison, MC, or on-call for 2-4 hour time periods on the day of the workshop. We will require volunteers to help in the organization in the days before the workshop in roles such as advertisement design. We will give priority to registration grants for our volunteers, so we strongly recommend that you apply using the link below.
Financial Assistance
LatinX in AI is committed to supporting LatinX & hispanic individuals from all around the world. This year since the workshop and ICML conference will be virtual, we want to ensure that our workshop is accessible to everyone, no matter where they live. As such, we are happy to provide support for registration fees and internet data grants to help those that have financial needs. If you believe you need financial assistance to cover your internet/data expenses or to virtually register to ICML, please make sure to fill out these applications as accurately and truthfully as possible.
Mentoring Program
LatinX in AI is hosting a mentoring program alongside our official workshops. The LatinX in AI Mentoring Program requires mentors and mentees to meet once a month. On the day of the workshop, 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 voucher as a token of appreciation on behalf of LatinX in AI.
WORKSHOP SPONSORS
PLATINUM
GOLD
BRONZE
KEYNOTE SPEAKERS
ORGANIZERS
Workshop Chairs
Operation and Logistics Chairs — Miguel Alonso (Reinforcement Learning at Unity Technologies), Maria Luisa Santiago (Accel.ai)
Presentation Chairs — Rocio Milagros Zorrilla Coz (LNCC), Fiorela Manco Fernandez (Entel Perú)
Mentorship Chairs — Vinicius Carida (Itaú Unibanco & GDE), Pedro Braga (Universidade Federal de Pernambuco), Lourdes Ramirez Cerna (National University of Trujillo), Diana Diaz (University of Illinois at Chicago), Paola Cascante (University of Virginia)
Program Committee Chairs — Leonel Rozo (bosch), Gabriel Ramos (Universidade do Vale do Rio dos Sinos)
Public Relations & Website Chairs — Walter Mayor-Toro (Universidad Autonoma de Occidente), Vanessa Gilede (Accel.ai)
Sponsor & Finance Chair — Dennis Nunez (UPCH - Universidad Peruana Cayetano Heredia), William Berrios Rojas (University of Illinois Chicago)
Volunteer Chair — Erick Mendez Guzman (Manchester University)
Program Committee
Luiz Felipe Vecchietti
Marleny Hilasaca
Matias Valdenegro-Toro
Monjoy Saha
Paul McLachlan
Pedro Braga
Roberto Valerio
Rodrigo Assar
Rosa Enciso
Sayantan Das
Sergio Garrido Mejia
Winston Percybrooks
Camilo Pestana
Cesar Uribe
Dennis Núñez-Fernández
Diogo Cortiz
Felipe Zeiser
Heitor Medeiros
Jingyi Feng
John Atkinson-Abutridy
Jose Gallego-Posada
Juan Banda
Kuheli Sai
Lucas Alegre