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🇷🇴 Romania ONIA 2026, National Stage
Gender biases shall not pass: Test-time debiasing of pretrained embeddings
Transform CLIP image embeddings at test time so they no longer encode gender but stay useful downstream.
- Statement
- Romanian · Read it in English (Google Translate)
- Data
- The data comes with the statement.
- To hand in
- A trained model
- Data type
- 🖼️ Images
- Estimated difficulty
- ★★☆☆☆
- Solution
- See a solution ↗ · best opened after you have tried
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›How to tackle it
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- Explore the data. Size, format, missing values, how the labels are spread.
- Score yourself first. Keep part of the training data aside to measure your work before submitting.
- Start simple, then improve. A first solution that works end to end, then one change at a time.
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