Rui Liu

Affiliations:
  • University of Michigan, Ann Arbor, MI, USA


According to our database1, Rui Liu authored at least 9 papers between 2015 and 2022.

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Bibliography

2022
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers.
CoRR, 2022

Communication-efficient Distributed Learning for Large Batch Optimization.
Proceedings of the International Conference on Machine Learning, 2022

Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers.
Proceedings of the International Conference on Machine Learning, 2022

Transformer with Memory Replay.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
Rankboost+: an improvement to Rankboost.
Mach. Learn., 2020

Adam with Bandit Sampling for Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
A Bandit Approach to Maximum Inner Product Search.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017
An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to Multiple-Instance Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2015
Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015


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