ICLR 2026 - Submissions

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Submissions

Quantity AI Content: 0-10%10-30%30-50%50-70%70-90%90-100%All
Avg Rating: 0-11-22-33-44-55-66-77-88-99-10All

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 1 (100%) 4.29
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%) 4.29
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting Recent progress in time series forecasting has produced large foundation models with strong generalization across domains. However, many of these models rely on transformer backbones, making their eff... 4.29 24% See Reviews View AI Dashboard
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