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20182022
most citedBag of Freebies for Training Object Detection Neural Networks

147 citations · 397 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.LG2021★ 3 cited

Benchmarking Multimodal AutoML for Tabular Data with Text Fields

Xingjian Shi, Jonas Mueller, Nick Erickson +2

We consider the use of automated supervised learning systems for data tables that not only contain numeric/categorical columns, but one or more text fields as well. Here we assembl…

cs.LG2020★ 12 cited

FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems

Yuwei Hu, Zihao Ye, Minjie Wang +6

Graph neural networks (GNNs) are gaining increasing popularity as a promising approach to machine learning on graphs. Unlike traditional graph workloads where each vertex/edge is a…

cs.LG2020

CSER: Communication-efficient SGD with Error Reset

Cong Xie, Shuai Zheng, Oluwasanmi Koyejo +3

The scalability of Distributed Stochastic Gradient Descent (SGD) is today limited by communication bottlenecks. We propose a novel SGD variant: Communication-efficient SGD with Err…

cs.LG2020★ 10 cited

Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes

Shuai Zheng, Haibin Lin, Sheng Zha +1

BERT has recently attracted a lot of attention in natural language understanding (NLU) and achieved state-of-the-art results in various NLU tasks. However, its success requires lar…

cs.LG2019★ 14 cited

Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources

Haibin Lin, Hang Zhang, Yifei Ma +4

With an increasing demand for training powers for deep learning algorithms and the rapid growth of computation resources in data centers, it is desirable to dynamically schedule di…