7 citations · 15 across the 6 of their papers we have counts for
Showing 2021 · cs.CVShow all
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cs.CV2021★ 4 cited
Mesa: A Memory-saving Training Framework for Transformers
Zizheng Pan, Peng Chen, Haoyu He +3
There has been an explosion of interest in designing high-performance Transformers. While Transformers have delivered significant performance improvements, training such networks i…
cs.CV2021
Single-path Bit Sharing for Automatic Loss-aware Model Compression
Jing Liu, Bohan Zhuang, Peng Chen +3
Network pruning and quantization are proven to be effective ways for deep model compression. To obtain a highly compact model, most methods first perform network pruning and then c…