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cs.LG2025
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
Stephen Zhang, Vardan Papyan
The recent paradigm shift to large-scale foundation models has brought about a new era for deep learning that, while has found great success in practice, has also been plagued by p…
cs.LG2024
Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities
Stephen Zhang, Vardan Papyan
Pruning has emerged as a promising approach for compressing large-scale models, yet its effectiveness in recovering the sparsest of models has not yet been explored. We conducted a…