2 papers
cs.CV2026
Residual Calibration via Local Feature-Space Refinement
Xihao Wang, Chengyao Yu, Ruixing Ming
Deep neural networks often struggle to provide reliable confidence estimates, making post-hoc calibration essential for reliable decision-making. Existing post-hoc methods largely…
cs.LG2025
FAIR-Pruner: A Flexible Framework for Automatic Layer-Wise Pruning via Tolerance of Difference
Chenqing Lin, Mostafa Hussien, Chengyao Yu +4
Structured pruning is a standard tool for compressing deep neural networks, but its practical performance depends on how sparsity is allocated across layers. We propose FAIR-Pruner…