Search Results for author: Su He

Found 2 papers, 1 papers with code

Efficient Multi-Scale Attention Module with Cross-Spatial Learning

1 code implementation • 23 May 2023 • Daliang Ouyang, Su He, Guozhong Zhang, Mingzhu Luo, Huaiyong Guo, Jian Zhan, Zhijie Huang

Remarkable effectiveness of the channel or spatial attention mechanisms for producing more discernible feature representation are illustrated in various computer vision tasks.

Dimensionality Reduction Image Classification +2

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TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots

no code implementations • CONLL 2019 • Wentao Ma, Yiming Cui, Nan Shao, Su He, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu

The heart of TripleNet is a novel attention mechanism named triple attention to model the relationships within the triple at four levels.

Ranked #16 on Conversational Response Selection on Ubuntu Dialogue (v1, Ranking)

Conversational Response Selection Retrieval

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