2021/10/28 · This paper proposes novel pruning algorithm to compress transformer models by eliminating redundant Attention Heads.
A novel pruning algorithm to compress transformer models by eliminating redundant Attention Heads is proposed by applying the A* search algorithm to obtain ...
2021/11/14 · This paper proposes novel pruning algorithms to compress transformer models by eliminating redundant Attention Heads.
This paper proposes novel pruning algorithm to compress transformer models by eliminating redundant Attention Heads.
This paper presents a novel technique to prune self-attention heads locally but using a guided heuristic to reduce the number of searches. We view pruning as a ...
Co-authors ; Pruning attention heads of transformer models using a* search: A novel approach to compress big nlp architectures. A Parnami, R Singh, T Joshi.
Attention head pruning, which removes unnecessary attention heads in the multihead attention, is a promising technique to reduce the burden of heavy ...
含まれない: Using Novel Approach Compress Big NLP Architectures.
[PDF] Compression of Deep Learning Models for Text: A Survey
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Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures · Computer Science. ArXiv · 2021.
This paper proposes novel pruning algorithm to compress transformer models by eliminating redundant Attention Heads. We apply the A* search algorithm to obtain ...
Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures · Preprint. October 2021. ·. 95 Reads. Archit ...