6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2019
Understanding Memory Modules on Learning Simple Algorithms
Kexin Wang, Yu Zhou, Shaonan Wang +2
Recent work has shown that memory modules are crucial for the generalization ability of neural networks on learning simple algorithms. However, we still have little understanding o…
cs.CL2018★ 6 cited
Learning Multimodal Word Representation via Dynamic Fusion Methods
Shaonan Wang, Jiajun Zhang, Chengqing Zong
Multimodal models have been proven to outperform text-based models on learning semantic word representations. Almost all previous multimodal models typically treat the representati…
cs.CL2017★ 1 cited
Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics
Shaonan Wang, Jiajun Zhang, Nan Lin +1
Multimodal models have been proven to outperform text-based approaches on learning semantic representations. However, it still remains unclear what properties are encoded in multim…