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The design choices in Transformer feed-forward neural networks have resulted in significant computational and parameter overhead. In this work, we emphasize the importance of hidden dimensions in designing lightweight FFNs, a factor often overlooked
Externí odkaz:
http://arxiv.org/abs/2310.14921
Two principles: the complementary principle and the consensus principle are widely acknowledged in the literature of multi-view learning. However, the current design of multi-head self-attention, an instance of multi-view learning, prioritizes the co
Externí odkaz:
http://arxiv.org/abs/2212.10197
Publikováno v:
In Computers in Biology and Medicine March 2022 142
