ICLR 2026 - Submissions

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Submissions

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Quantity AI Content Count Avg Rating
0-10% 1 (100%) 3.20
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30-50% 0 (0%) N/A
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Total 1 (100%) 3.20
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Data Pruning: Counting the Frequency of Loss Transition from Above-Average to Below-Average (FATB) During Early Training In this paper, we propose a novel data pruning algorithm named FATB, which aims to remove potentially redundant data and inherent noise in the original dataset during model training, thereby identifyi... 3.20 5% See Reviews View AI Dashboard
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