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MAGNeto: An Efficient Deep Learning Method for the Extractive Tags
  Summarization Problem

MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem

9 November 2020
H. Phung
A. Vu
Tung D. Nguyen
Lam Thanh Do
Giang Nam Ngo
Trung Thanh Tran
Hà Nội
    ViT
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Papers citing "MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem"

2 / 2 papers shown
Title
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,821
0
17 Sep 2019
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
1