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Semantic Graph-enhanced Visual Network for Zero-shot Learning

Jun 08, 2020
Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall

* 15 pages, 8 figures 

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Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods

Oct 14, 2019
Pei Yang, Srinivas Varadharajan, Lucas A. Wilson, Don D. Smith II, John A Lockman III, Vineet Gundecha, Quy Ta

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Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models

May 10, 2019
Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang

* 18 pages, 10 figures, accepted at the 2019 International Supercomputing Conference 

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An Effective Way to Improve YouTube-8M Classification Accuracy in Google Cloud Platform

Jun 26, 2017
Zhenzhen Zhong, Shujiao Huang, Cheng Zhan, Licheng Zhang, Zhiwei Xiao, Chang-Chun Wang, Pei Yang

* 5 pages, 2 figures 

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Multi-agent Reinforcement Learning with Sparse Interactions by Negotiation and Knowledge Transfer

Mar 31, 2016
Luowei Zhou, Pei Yang, Chunlin Chen, Yang Gao

* 13 pages, 15 figures 

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