ASR applies per-channel variance-matching corrections stabilized by data-driven shrinkage to recover accuracy in highly sparse convolutional networks without retraining.
Very deep convolutional networks for large-scale image recognition
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
The authors propose target-space recovery profiles to diagnose which reproducible dimensions of fMRI brain responses are captured by model predictions, showing that accuracy alone can mask alignment mismatches in visual cortex.
Z-Score Filtered SAM retains only high absolute Z-score gradient components per layer during the ascent step and reports higher test accuracy than standard SAM on CIFAR and Tiny-ImageNet benchmarks.
citing papers explorer
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Adaptive Signal Resuscitation: Channel-wise Post-Pruning Repair for Sparse Vision Networks
ASR applies per-channel variance-matching corrections stabilized by data-driven shrinkage to recover accuracy in highly sparse convolutional networks without retraining.
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Beyond Prediction Accuracy: Target-Space Recovery Profiles for Evaluating Model-Brain Alignment
The authors propose target-space recovery profiles to diagnose which reproducible dimensions of fMRI brain responses are captured by model predictions, showing that accuracy alone can mask alignment mismatches in visual cortex.
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Sharpness-Aware Minimization with Z-Score Gradient Filtering
Z-Score Filtered SAM retains only high absolute Z-score gradient components per layer during the ascent step and reports higher test accuracy than standard SAM on CIFAR and Tiny-ImageNet benchmarks.