ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 1 (100%) | 4.50 |
| 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%) | 4.50 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| How Does Fine-Tuned Foundation Models Help for Long-Tailed Data | Deep long-tail learning is a challenging visual recognition problem that trains models on long-tailed distributed datasets. In the last decade, a large number of methods have been proposed to solve th... | 4.50 | 0% | See Reviews | View AI Dashboard |