Yanshuai Cao

According to our database, Yanshuai Cao authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation.

Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou

CoRR, 2024

Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks.

Yongchang Hao, Yanshuai Cao, Lili Mou

CoRR, 2024

Flora: Low-Rank Adapters Are Secretly Gradient Compressors.

Yongchang Hao, Yanshuai Cao, Lili Mou

CoRR, 2024

2023

Ensemble Distillation for Unsupervised Constituency Parsing.

Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou

CoRR, 2023

An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation.

Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Hierarchical Neural Data Synthesis for Semantic Parsing.

Wei Yang, Peng Xu, Yanshuai Cao

CoRR, 2021

Semantic Parsing with Less Prior and More Monolingual Data.

Sajad Norouzi, Yanshuai Cao

CoRR, 2021

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

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

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Optimizing Deeper Transformers on Small Datasets.

Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J. D. Prince, Yanshuai Cao

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data.

Sajad Norouzi, Keyi Tang, Yanshuai Cao

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Globally Normalized Neural Model for Semantic Parsing.

Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaïane, Lili Mou

Proceedings of the 5th Workshop on Structured Prediction for NLP, 2021

2020

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

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

CoRR, 2020

Variational Hyper RNN for Sequence Modeling.

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

CoRR, 2020

On Variational Learning of Controllable Representations for Text without Supervision.

Peng Xu, Jackie Chi Kit Cheung, Yanshuai Cao

Proceedings of the 37th International Conference on Machine Learning, 2020

Evaluating Lossy Compression Rates of Deep Generative Models.

Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse

Proceedings of the 37th International Conference on Machine Learning, 2020

Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer.

Yanshuai Cao, Peng Xu

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Preventing Posterior Collapse in Sequence VAEs with Pooling.

Teng Long, Yanshuai Cao, Jackie Chi Kit Cheung

CoRR, 2019

Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement.

Peng Xu, Yanshuai Cao, Jackie Chi Kit Cheung

CoRR, 2019

A Cross-Domain Transferable Neural Coherence Model.

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

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Scaling Gaussian Processes.

Yanshuai Cao

PhD thesis, 2018

Few-Shot Self Reminder to Overcome Catastrophic Forgetting.

Junfeng Wen, Yanshuai Cao, Ruitong Huang

CoRR, 2018

Improving GAN Training via Binarized Representation Entropy (BRE) Regularization.

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

Proceedings of the 6th International Conference on Learning Representations, 2018

Adversarial Contrastive Estimation.

Avishek Joey Bose, Huan Ling, Yanshuai Cao

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Automatic Selection of t-SNE Perplexity.

Yanshuai Cao, Luyu Wang

CoRR, 2017

2016

Adversarial Manipulation of Deep Representations.

Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet

Proceedings of the 4th International Conference on Learning Representations, 2016

2015

Efficient Optimization for Sparse Gaussian Process Regression.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Transductive Log Opinion Pool of Gaussian Process Experts.

Yanshuai Cao, David J. Fleet

CoRR, 2015

2014

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

Yanshuai Cao, David J. Fleet

CoRR, 2014