Haibin Lin

According to our database1, Haibin Lin authored at least 15 papers between 2013 and 2020.

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Timeline

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Bibliography

2020
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
J. Mach. Learn. Res., 2020

Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes.
CoRR, 2020

Is Network the Bottleneck of Distributed Training?
CoRR, 2020

ResNeSt: Split-Attention Networks.
CoRR, 2020

2019
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates.
CoRR, 2019

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs.
CoRR, 2019

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
CoRR, 2019

Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources.
CoRR, 2019

Just-in-Time Dynamic-Batching.
CoRR, 2019


Dive into Deep Learning for Natural Language Processing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2017

2013
Salience-based feature preserving resizing for 3D models.
Proceedings of the SIGGRAPH Asia 2013, 2013

3D reconstruction of complex geometric solids from 2D line drawings.
Proceedings of the SIGGRAPH Asia 2013, 2013

Visual Saliency Guided Global and Local Resizing for 3D Models.
Proceedings of the 2013 International Conference on Computer-Aided Design and Computer Graphics, 2013


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