ICLR 2026 - Submissions

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Submissions

Quantity AI Content: 0-10%10-30%30-50%50-70%70-90%90-100%All
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Quantity AI Content Count Avg Rating
0-10% 1 (100%) 5.50
10-30% 0 (0%) N/A
30-50% 0 (0%) N/A
50-70% 0 (0%) N/A
70-90% 0 (0%) N/A
90-100% 0 (0%) N/A
Total 1 (100%) 5.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Bayesian Influence Functions for Hessian-Free Data Attribution Classical influence functions face significant challenges when applied to deep neural networks, primarily due to non-invertible Hessians and high-dimensional parameter spaces. We propose the local Bay... 5.50 4% See Reviews View AI Dashboard
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