Andrew M. Dai

According to our database1, Andrew M. Dai authored at least 21 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2018
An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation.
CoRR, 2018

Embedding Text in Hyperbolic Spaces.
CoRR, 2018

Learning Longer-term Dependencies in RNNs with Auxiliary Losses.
CoRR, 2018

Scalable and accurate deep learning for electronic health records.
CoRR, 2018

MaskGAN: Better Text Generation via Filling in the ______.
CoRR, 2018

Embedding Text in Hyperbolic Spaces.
Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing, 2018

Learning Longer-term Dependencies in RNNs with Auxiliary Losses.
Proceedings of the 35th International Conference on Machine Learning, 2018

Who Said What: Modeling Individual Labelers Improves Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step.
CoRR, 2017

Who Said What: Modeling Individual Labelers Improves Classification.
CoRR, 2017

2016
Virtual Adversarial Training for Semi-Supervised Text Classification.
CoRR, 2016

HyperNetworks.
CoRR, 2016

Generating Sentences from a Continuous Space.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

2015
The Supervised Hierarchical Dirichlet Process.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Document Embedding with Paragraph Vectors.
CoRR, 2015

Semi-supervised Sequence Learning.
CoRR, 2015

Generating Sentences from a Continuous Space.
CoRR, 2015

Semi-supervised Sequence Learning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
The supervised hierarchical Dirichlet process.
CoRR, 2014

2011
The Grouped Author-Topic Model for Unsupervised Entity Resolution.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Language-independent compound splitting with morphological operations.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011


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