Liabilities / Assets
60th percentile
Tied with the lowest-debt nonprofits in its peer group.
EIN 45-3085009 • 501(c)3 • San Francisco, CA
Profile
Educate the public with scientific competitions and related events
Precomputed percentiles relative to similar nonprofits. These scores are descriptive rather than judgmental.
Liabilities / Assets
60th percentile
Tied with the lowest-debt nonprofits in its peer group.
Liabilities / Revenue
62nd percentile
Tied with the lowest-debt nonprofits in its peer group.
Net Margin
69th percentile
Higher net margin than 69% of similar nonprofits.
Top Officer Pay
81st percentile
Higher top officer pay than 81% of similar nonprofits.
Top officer pay equals 0.0% of source-year revenue.
Asset Growth
82nd percentile
Faster asset growth than 82% of similar nonprofits.
Revenue Growth
55th percentile
Faster revenue growth than 55% of similar nonprofits.
Assets
Up$112,731
Up $28,592 (+34%) from 2023
Liabilities
Flat$0
Flat from 2023
Net Assets
Up$112,731
Up $28,592 (+34%) from 2023
Revenue
Up$192,000
Up $3,000 (+1.6%) from 2023
Expenses
Down$163,408
Down $18,944 (-10%) from 2023
Net Income
Up$28,592
Up $21,944 (+330%) from 2023
Most recent year
2024 • Form 990EZDetailed filing. Detailed filing data is available for this year.
Educate the public with scientific competitions and related events
| Description | Grants | Expenses |
|---|---|---|
| FAIR UNIVERSE: This is a program in collaboration with Lawrence Berkeley Labs: https://fair-universe.lbl.gov/. The collaboration is building a large-compute-scale AI platform for the hosting of large scientific datasets, models, and machine learning competitions to drive forward discoveries in high energy physics and cosmology. The initial focus is on discovering and minimizing systematic uncertainties in High Energy Physics through a sequence of challenges that will bring together researchers across physics and machine learning. ChaLearn sponsors a PhD student and a freelance engineer. The expenses this include the salary of the PhD student (via a donation made to Université Paris-Saclay), and the fees paid to an engineer consultant. We also incurred $10 of bank fees. | $0 | $132,033 |
| LAP PROGRAM: The Looking at People (LAP) challenge seres in computer vision is organized in collaboration with Universitat Barcelona https://chalearnlap.cvc.uab.cat/. This year we sponsored the Face anti-spoofing, CVPR 2024 https://sites.google.com/view/face-anti-spoofing-challenge/welcome/challengecvpr2024 challenge. | $19,822 | $0 |
| PAPER REVIEW: This is a new program on automated reviews of scientific papers. https://blog.neurips.cc/2024/12/10/results-of-the-neurips-2024-experiment-on-the-usefulness-of-llms-as-an-author-checklist-assistant-for-scientific-papers/. This year we helped benchmarking the capabilities of LLMs to assist authors with verifying the conference checklist. | $0 | $11,553 |
| CODALAB COMPETITIONS: This program sponsors the development of competition platforms. This year, we continued consolidating new benchmark platform codabench.org. Codalab competitions has been featured for the second time FIRST in a blog, before Kaggle and Tianchi: https://mlcontests.com/state-of-competitive-machine-learning-2024. The code is open-sourced: https://github.com/codalab/codalab-competitions/issues. We are editing a book on challenges and benchmarks: https://sites.google.com/chalearn.org/book/home. | $0 | $0 |
| MEDICHAL: This program organizes student challenges to educate them in health informatics. This year we wrapped up papers we had started. | $0 | $0 |
| Name | Title | Full / Part Time | Base | Other | Total |
|---|---|---|---|---|---|
| Kristin Bennett | Treasurer, Director | - | $0 | - | - |
| Anne-Catherine Letournel | Secretary, Director | - | $0 | - | - |
| Sergio Escalera | Vice-President, Director | - | $0 | - | - |
| Isabelle Guyon | President | - | $0 | - | - |
| Hugo-Jair Escalante Balderas | Director | - | $0 | - | - |
| Antoine Marot | Director | - | $0 | - | - |
| Magali Richard | Director | - | $0 | - | - |
| David Rousseau | Director | - | $0 | - | - |
| Sebastien Treguer | Director | - | $0 | - | - |
| Evelyne Viegas | Director | - | $0 | - | - |
“Competition prizes for LAP challenge CVPR 2024.”
“Bank fees”
This appendix keeps the raw XML leaves available for debugging and edge-case review. The human report above is the primary experience.
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| IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt | 0 | CODALAB COMPETITIONS: This program sponsors the development of competition platforms. This year, we continued consolidating new benchmark platform codabench.org. Codalab competitions has been featured for the second time FIRST in a blog, before Kaggle and Tianchi: https://mlcontests.com/state-of-competitive-machine-learning-2024. The code is open-sourced: https://github.com/codalab/codalab-competitions/issues. We are editing a book on challenges and benchmarks: https://sites.google.com/chalearn.org/book/home. |
| IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt | 1 | LAP PROGRAM: The Looking at People (LAP) challenge seres in computer vision is organized in collaboration with Universitat Barcelona https://chalearnlap.cvc.uab.cat/. This year we sponsored the Face anti-spoofing, CVPR 2024 https://sites.google.com/view/face-anti-spoofing-challenge/welcome/challengecvpr2024 challenge. |
| IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt | 2 | FAIR UNIVERSE: This is a program in collaboration with Lawrence Berkeley Labs: https://fair-universe.lbl.gov/. The collaboration is building a large-compute-scale AI platform for the hosting of large scientific datasets, models, and machine learning competitions to drive forward discoveries in high energy physics and cosmology. The initial focus is on discovering and minimizing systematic uncertainties in High Energy Physics through a sequence of challenges that will bring together researchers across physics and machine learning. ChaLearn sponsors a PhD student and a freelance engineer. The expenses this include the salary of the PhD student (via a donation made to Université Paris-Saclay), and the fees paid to an engineer consultant. We also incurred $10 of bank fees. |
| IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt | 3 | MEDICHAL: This program organizes student challenges to educate them in health informatics. This year we wrapped up papers we had started. |
| IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt | 4 | PAPER REVIEW: This is a new program on automated reviews of scientific papers. https://blog.neurips.cc/2024/12/10/results-of-the-neurips-2024-experiment-on-the-usefulness-of-llms-as-an-author-checklist-assistant-for-scientific-papers/. This year we helped benchmarking the capabilities of LLMs to assist authors with verifying the conference checklist. |
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| ReturnHeader/BuildTS | 0 | 2025-03-06 01:10:19Z |
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| ReturnHeader/ReturnTs | 0 | 2025-05-14T05:13:34-07:00 |
| ReturnHeader/ReturnTypeCd | 0 | 990EZ |
| ReturnHeader/TaxPeriodBeginDt | 0 | 2024-01-01 |
| ReturnHeader/TaxPeriodEndDt | 0 | 2024-12-31 |
| ReturnHeader/TaxYr | 0 | 2024 |
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