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Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface


Jun 08, 2021
Peng Xu, Wenjie Zi, Hamidreza Shahidi, Ákos Kádár, Keyi Tang, Wei Yang, Jawad Ateeq, Harsh Barot, Meidan Alon, Yanshuai Cao

* ACL 2021 demonstration track 

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A Globally Normalized Neural Model for Semantic Parsing


Jun 07, 2021
Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaïane, Lili Mou


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Semantic Parsing with Less Prior and More Monolingual Data


Jan 01, 2021
Sajad Norouzi, Yanshuai Cao


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Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing


Dec 30, 2020
Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, Jackie Chi Kit Cheung, Yanshuai Cao

* Work in progress 

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Evaluating Lossy Compression Rates of Deep Generative Models


Aug 15, 2020
Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger Grosse


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Variational Hyper RNN for Sequence Modeling


Feb 24, 2020
Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker


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Preventing Posterior Collapse in Sequence VAEs with Pooling


Nov 10, 2019
Teng Long, Yanshuai Cao, Jackie Chi Kit Cheung


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Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer


May 28, 2019
Yanshuai Cao, Peng Xu


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Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement


May 28, 2019
Peng Xu, Yanshuai Cao, Jackie Chi Kit Cheung


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A Cross-Domain Transferable Neural Coherence Model


May 28, 2019
Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung

* Accepted at ACL 2019 

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Few-Shot Self Reminder to Overcome Catastrophic Forgetting


Dec 03, 2018
Junfeng Wen, Yanshuai Cao, Ruitong Huang


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Adversarial Contrastive Estimation


Aug 02, 2018
Avishek Joey Bose, Huan Ling, Yanshuai Cao

* Association for Computational Linguistics, 2018 

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Improving GAN Training via Binarized Representation Entropy (BRE) Regularization


May 09, 2018
Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang

* Published as a conference paper at the 6th International Conference on Learning Representations (ICLR 2018) 

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Implicit Manifold Learning on Generative Adversarial Networks


Oct 30, 2017
Kry Yik Chau Lui, Yanshuai Cao, Maxime Gazeau, Kelvin Shuangjian Zhang

* ICML 2017 Workshop on Implicit Models 

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Automatic Selection of t-SNE Perplexity


Aug 10, 2017
Yanshuai Cao, Luyu Wang


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Adversarial Manipulation of Deep Representations


Mar 04, 2016
Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet

* Accepted as a conference paper at ICLR 2016 

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Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions


Nov 24, 2015
Yanshuai Cao, David J. Fleet

* Modern Nonparametrics 3: Automating the Learning Pipeline workshop at NIPS 2014 

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Transductive Log Opinion Pool of Gaussian Process Experts


Nov 24, 2015
Yanshuai Cao, David J. Fleet

* Accepted at NIPS2015 Workshop on Nonparametric Methods for Large Scale Representation Learning 

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Efficient Optimization for Sparse Gaussian Process Regression


Nov 11, 2013
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann

* To appear in NIPS 2013 

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