Shuyang Dai

According to our database1, Shuyang Dai authored at least 15 papers between 2017 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Exploring Deep Representation Learning on Vision and Language Intelligence.
PhD thesis, 2021

APo-VAE: Text Generation in Hyperbolic Space.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Large Scale Extended Algorithm for 2D Halton Points with Low-Discrepancy Sequences.
Proceedings of the 3rd International Conference on Artificial Intelligence and Advanced Manufacture, 2021

2020
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information.
Proceedings of the 37th International Conference on Machine Learning, 2020

Adaptation Across Extreme Variations using Unlabeled Bridges.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Bridging Maximum Likelihood and Adversarial Learning via α-Divergence.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Adaptation Across Extreme Variations using Unlabeled Domain Bridges.
CoRR, 2019

On Fenchel Mini-Max Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variational Annealing of GANs: A Langevin Perspective.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Adversarial Text Generation via Feature-Mover's Distance.
CoRR, 2018

Adversarial Text Generation via Feature-Mover's Distance.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets.
Proceedings of the 35th International Conference on Machine Learning, 2018

Symmetric Variational Autoencoder and Connections to Adversarial Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Symmetric Variational Autoencoder and Connections to Adversarial Learning.
CoRR, 2017


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