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cs.LG2024
Learning a Sparse Neural Network using IHT
Saeed Damadi, Soroush Zolfaghari, Mahdi Rezaie +1
The core of a good model is in its ability to focus only on important information that reflects the basic patterns and consistencies, thus pulling out a clear, noise-free signal fr…
cs.LG2022
Convergence of the mini-batch SIHT algorithm
Saeed Damadi, Jinglai Shen
The Iterative Hard Thresholding (IHT) algorithm has been considered extensively as an effective deterministic algorithm for solving sparse optimizations. The IHT algorithm benefits…