Zihang Dai

According to our database1, Zihang Dai authored at least 26 papers between 2016 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding.
CoRR, 2019

Unsupervised Data Augmentation.
CoRR, 2019

Re-examination of the Role of Latent Variables in Sequence Modeling.
CoRR, 2019

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.
CoRR, 2019

Transformer-XL: Attentive Language Models beyond a Fixed-Length Context.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Characterizing and Avoiding Negative Transfer.
CoRR, 2018

Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation.
CoRR, 2018

SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation.
CoRR, 2018

From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction.
CoRR, 2018

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model.
Proceedings of the 6th International Conference on Learning Representations, 2018

Large-scale Cloze Test Dataset Created by Teachers.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model.
CoRR, 2017

Large-scale Cloze Test Dataset Designed by Teachers.
CoRR, 2017

An Interpretable Knowledge Transfer Model for Knowledge Base Completion.
CoRR, 2017

Controllable Invariance through Adversarial Feature Learning.
CoRR, 2017

Good Semi-supervised Learning that Requires a Bad GAN.
CoRR, 2017

Calibrating Energy-based Generative Adversarial Networks.
CoRR, 2017

Controllable Invariance through Adversarial Feature Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Good Semi-supervised Learning That Requires a Bad GAN.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Calibrating Energy-based Generative Adversarial Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

An Interpretable Knowledge Transfer Model for Knowledge Base Completion.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases.
CoRR, 2016

CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016


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