Rules

The rules provided to contestants are as follows:

• Contestants are allowed and encouraged to use any datasets for pre-training. However, they must clearly mention and document any additional data sources used in their submission.
• Contestants are allowed to use existing foundation models, but they must clearly mention and document which pre-trained models were used and how they were fine-tuned in their submission.
• Contestants must submit their code during the inference stage; this is a code submission competition.
• Models must be able to run on a single GPU with 20 GB of memory at the inference stage. Contestants are encouraged to validate their models on a similar machine before submitting their code.
• Related members from the organizing team can participate but are ineligible for prizes.
• The top 10 teams will have their code released after the final submission.

Evaluation Criteria

Challenge 1: Cross-Task Transfer Learning

• Mean Absolute Error (MAE) - 40%
• Coefficient of Determination (R²) - 20%
• Area Under ROC Curve (AUC-ROC) - 30%
• Balanced Accuracy - 10%

Challenge 2: Psychopathology Factor Prediction

• Concordance Correlation Coefficient (CCC) - 50%
• Root Mean Square Error (RMSE) - 30%
• Spearman’s Rank Correlation - 20%

Overall Ranking

• Challenge 1 contributes 40% to final score
• Challenge 2 contributes 60% to final score