88 citations · 128 across the 11 of their papers we have counts for
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cs.LG2022
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph
Tong Yang, Yifei Wang, Long Sha +2
Knowledge graph (KG) representation learning aims to encode entities and relations into dense continuous vector spaces such that knowledge contained in a dataset could be consisten…
cs.LG2022
Algebraic Learning: Towards Interpretable Information Modeling
Tong Owen Yang
Along with the proliferation of digital data collected using sensor technologies and a boost of computing power, Deep Learning (DL) based approaches have drawn enormous attention i…
cs.CV2022★ 17 cited
Q-ViT: Fully Differentiable Quantization for Vision Transformer
Zhexin Li, Tong Yang, Peisong Wang +1
In this paper, we propose a fully differentiable quantization method for vision transformer (ViT) named as Q-ViT, in which both of the quantization scales and bit-widths are learna…