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Feb, 2025
遵循:借鉴果蝇嗅觉的复杂权重学习句子
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction
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Alexei Figueroa, Justus Westerhoff, Golzar Atefi, Dennis Fast, Benjamin Winter...
TL;DR
本研究解决了生物启发神经网络在序列表示学习中的性能不足问题。通过引入复杂权重以融入位置信息,我们提出的Comply模型在效率和性能上超越了FlyVec,并与更大规模的先进模型表现相当,而无需增加额外参数。这项工作可能对高效学习稀疏上下文句子表示产生深远影响。
Abstract
Biologically inspired
Neural Networks
offer alternative avenues to model data distributions. FlyVec is a recent example that draws inspiration from the fruit fly's olfactory circuit to tackle the task of learning
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