Shanmuk4622/E2AM_ResNet50
E2AM Ablation Results: ResNet-50 Energy-aware training ablation study for ResNet-50 across three image-classification datasets: CIFAR-10, CIFAR-100, and Tiny-ImageNet. Each dataset has 15 training variants (8 individual-method M0..M7, 7 cumulative ablation C0..C6) at 50 epochs, plus a 5-variant deployment pipeline (FP32 baseline, structured pruning, pruning+finetune, INT8 quantization, pruned+INT8). Status: 45 completed variants, 0 partial. Quick links… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/E2AM_ResNet50.
| Author / organization | Shanmuk4622 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 10 May 2026 |
| Last updated at source | 2 July 2026 |
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