858 citations · 913 across the 16 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.LG2022★ 2 cited
Distributed Pruning Towards Tiny Neural Networks in Federated Learning
Hong Huang, Lan Zhang, Chaoyue Sun +3
Neural network pruning is an essential technique for reducing the size and complexity of deep neural networks, enabling large-scale models on devices with limited resources. Howeve…
eess.IV2022★ 1 cited
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari +5
Model calibration measures the agreement between the predicted probability estimates and the true correctness likelihood. Proper model calibration is vital for high-risk applicatio…