46 citations · 71 across the 12 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
Gradual Capacity Growth for Sparse Network Discovery
Qihang Yao, Constantine Dovrolis
Sparse neural network methods typically assume that the target sparsity (or density) is fixed in advance, even though the relationship between network capacity and performance is g…
cs.LG2025
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
Mustafa Burak Gurbuz, Xingyu Zheng, Constantine Dovrolis
As deep learning continues to be driven by ever-larger datasets, understanding which examples are most important for generalization has become a critical question. While progress i…