ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 0 (0%) | N/A |
| 10-30% | 1 (100%) | 3.00 |
| 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%) | 3.00 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Continuous Online Action Detection from Egocentric Videos | Online Action Detection (OAD) tackles the challenge of recognizing actions as they unfold, relying solely on current and past frames. However, most OAD models are trained offline and assume static env... | 3.00 | 16% | See Reviews | View AI Dashboard |