Liabilities / Assets
56th percentile
Tied with the lowest-debt nonprofits in its peer group.
Precomputed percentiles for this filing year versus similar nonprofits in the same peer cohort.
Liabilities / Assets
56th percentile
Tied with the lowest-debt nonprofits in its peer group.
Liabilities / Revenue
57th percentile
Tied with the lowest-debt nonprofits in its peer group.
Net Margin
68th percentile
Higher net margin than 68% of similar nonprofits.
Top Officer Pay
79th percentile
Higher top officer pay than 79% of similar nonprofits.
Top officer pay equals 0.0% of source-year revenue.
Asset Growth
80th percentile
Faster asset growth than 80% of similar nonprofits.
Revenue Growth
48th percentile
Faster revenue growth than 48% of similar nonprofits.
Assets
Up$112,731
Up $28,592 (+34%) from 2023
Net Assets
Up$112,731
Up $28,592 (+34%) from 2023
Liabilities
Flat$0
Flat 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
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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| IRS990ScheduleO/SupplementalInformationDetail/ExplanationTxt | 0 | Competition prizes for LAP challenge CVPR 2024. |
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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 |
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| ReturnHeader/TaxPeriodBeginDt | 0 | 2024-01-01 |
| ReturnHeader/TaxPeriodEndDt | 0 | 2024-12-31 |
| ReturnHeader/TaxYr | 0 | 2024 |
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Displayed year
2024 • Form 990EZDetailed filing. Detailed filing data is available for this year.
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