ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 1 (100%) | 3.60 |
| 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%) | 3.60 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Constrained-Data-Value-Maximization: Utilizing Data Attribution for Effective Data Pruning in Low-Data Environments | Attributing model behavior to training data is an evolving research field. A common benchmark is data removal, which involves eliminating data points with either low or high values, then assessing a ... | 3.60 | 0% | See Reviews | View AI Dashboard |