| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Pythia 1B (16L), 410M (24L) (val) | Last-N | ΔPPL4.4 | 36 | 1mo ago | |
| MNIST | DRR | Compression Ratio (CR)342 | 30 | 20d ago | |
| CIFAR-100 (test) | Best local-axis method | FLOPs-based Accuracy-Retention AUC0.669 | 27 | 23d ago | |
| ImageNet | PMMP | Effective Information (EI)1.5 | 11 | 20d ago | |
| SST-2 (test) | LRP(AH+LN) | AU-MSE1.56 | 9 | 3mo ago | |
| IMDB (test) | LRP(AH+LN) | AU-MSE0.65 | 9 | 3mo ago | |
| SILICONE Semaine (test) | LRP(AH+LN) | AU-MSE1.08 | 8 | 3mo ago | |
| SILICONE Meld-S (test) | LRP(AH+LN) | AU-MSE1.48 | 8 | 3mo ago | |
| TweetEval T-Sentiment (test) | LRP(AH+LN) | AU-MSE1.23 | 8 | 3mo ago | |
| TweetEval T-Hate (test) | LRP(AH+LN) | AU-MSE4.88 | 8 | 3mo ago | |
| TweetEval T-Emotions (test) | LRP(AH+LN) | AU-MSE1.47 | 8 | 3mo ago | |
| MNIST (test) | LRP(AH+LN) | AU-MSE17.49 | 8 | 3mo ago | |
| BACE (test) | LRP(AH+LN) | AU-MSE1.61 | 8 | 3mo ago | |
| MNLI | Fast Post-Training Pruning Framework | Epochs0 | 5 | 3mo ago |
