Adrien Pavão

I believe in the use of challenges (competitions or benchmarks) to find solutions to complex machine learning problems.

• ML Challenges: Result Submission VS Code Submission
  Many competitions are organized each year on platforms such as Kaggle, CodaLab Competitions or EvalAI. Some allow you to upload your model’s predictions, while others allow you to upload directly your...
• A brief history of competitions in machine learning
  The idea of leveraging a community of experts and non-experts to solve a scientific problem has been around for hundreds of years. The long history of scientific challenges begin with...
• Designing a Data Science Competition is an Excellent Way to Learn
  Over the past few years, we have explored the benefits of involving students both in organizing and in participating in challenges as a...
• Beyond Accuracy: Exploring Exotic Metrics for Holistic Evaluation of Machine Learning Models
  Machine learning has undoubtedly become a powerful tool in today’s data-driven world, but are we truly tapping into its full potential? Traditional evaluation metrics like...
• How to create your first competition on CodaLab
  Organizing a challenge allows you to crowd-source the most difficult machine learning problems. It is also...
• How to Create your First Benchmark on Codabench
  The progress in the field of machine learning mostly relies on benchmarks, which are fair comparisons between multiple models on the same problem. Platforms such as...
• Learning to Run a Power Network with Renewable Energies: a Challenge Design and Analysis
  As the climate is rapidly changing, it is crucial that we change the way we produce and consume energy to reduce the amount of carbon and other greenhouse gases being produced. In this context, we propose a challenge that...