ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 1 (100%) | 3.50 |
| 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%) | 3.50 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Reframing Dense Action Detection (RefDense): A New Perspective on Problem Solving and a Novel Optimization Strategy | In dense action detection, we aim to detect multiple co-occurring actions. However, action classes are often ambiguous, as they share overlapping sub-components. We argue that the dual challenges of t... | 3.50 | 0% | See Reviews | View AI Dashboard |