Wei Dai

Affiliations:

Petuum Inc., Pittsburgh, PA, USA
Carnegie Mellon University, Pittsburgh, PA, USA (former)

According to our database¹, Wei Dai authored at least 28 papers between 2013 and 2019.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2019

Neural Architecture Search for Adversarial Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Toward Understanding the Impact of Staleness in Distributed Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Learning with Staleness.

[BibT_eX]

[DOI]

Wei Dai

PhD thesis, 2018

Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2018

Cavs: An Efficient Runtime System for Dynamic Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017

Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation.

[BibT_eX]

[DOI]

CoRR, 2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.

[BibT_eX]

[DOI]

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Dual Motion GAN for Future-Flow Embedded Video Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms.

[BibT_eX]

[DOI]

Yu-Xiang Wang

Veeranjaneyulu Sadhanala

Proceedings of the 33nd International Conference on Machine Learning, 2016

STRADS: a distributed framework for scheduled model parallel machine learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh European Conference on Computer Systems, 2016

Addressing the straggler problem for iterative convergent parallel ML.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Petuum: A New Platform for Distributed Machine Learning on Big Data.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2015

Strategies and Principles of Distributed Machine Learning on Big Data.

[BibT_eX]

[DOI]

CoRR, 2015

LightLDA: Big Topic Models on Modest Computer Clusters.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web, 2015

Managed communication and consistency for fast data-parallel iterative analytics.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

High-Performance Distributed ML at Scale through Parameter Server Consistency Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

LightLDA: Big Topic Models on Modest Compute Clusters.

[BibT_eX]

[DOI]

CoRR, 2014

Exploiting Bounded Staleness to Speed Up Big Data Analytics.

[BibT_eX]

[DOI]

Proceedings of the 2014 USENIX Annual Technical Conference, 2014

Exploiting iterative-ness for parallel ML computations.

[BibT_eX]

[DOI]

Jesse Haber-Kucharsky

Proceedings of the ACM Symposium on Cloud Computing, 2014

2013

Consistent Bounded-Asynchronous Parameter Servers for Distributed ML.

[BibT_eX]

[DOI]

CoRR, 2013

Petuum: A Framework for Iterative-Convergent Distributed ML.

[BibT_eX]

[DOI]

CoRR, 2013

Wei Dai

Timeline

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