no code implementations • 13 Jan 2021 • Mengting Chen, Xinggang Wang, Heng Luo, Yifeng Geng, Wenyu Liu
By applying the proposed feature matching block in different layers of the few-shot recognition network, multi-scale information among the compared images can be incorporated into the final cascaded matching feature, which boosts the recognition performance further and generalizes better by learning on relationships.
1 code implementation • 31 Dec 2019 • Mengting Chen, Yuxin Fang, Xinggang Wang, Heng Luo, Yifeng Geng, Xin-Yu Zhang, Chang Huang, Wenyu Liu, Bo wang
The learning problem of the sample generation (i. e., diversity transfer) is solved via minimizing an effective meta-classification loss in a single-stage network, instead of the generative loss in previous works.
no code implementations • 7 Oct 2019 • Joseph A. Morrone, Jeffrey K. Weber, Tien Huynh, Heng Luo, Wendy D. Cornell
We develop a deep learning model for binding mode prediction that uses docking ranking as input in combination with docking structures.
2 code implementations • ICLR 2018 • Yichen Gong, Heng Luo, Jian Zhang
Natural Language Inference (NLI) task requires an agent to determine the logical relationship between a natural language premise and a natural language hypothesis.
Ranked #12 on Paraphrase Identification on Quora Question Pairs (Accuracy metric)
no code implementations • 1 Oct 2014 • Guillaume Desjardins, Heng Luo, Aaron Courville, Yoshua Bengio
Restricted Boltzmann Machines (RBMs) are one of the fundamental building blocks of deep learning.