Yanshuai Cao

According to our database1, Yanshuai Cao authored at least 31 papers between 2014 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks.
CoRR, 2024

Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models.
CoRR, 2024

EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation.
CoRR, 2024

Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks.
CoRR, 2024

Flora: Low-Rank Adapters Are Secretly Gradient Compressors.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Ensemble Distillation for Unsupervised Constituency Parsing.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Jump Starting Bandits with LLM-Generated Prior Knowledge.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021
Hierarchical Neural Data Synthesis for Semantic Parsing.
CoRR, 2021

Semantic Parsing with Less Prior and More Monolingual Data.
CoRR, 2021

TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface.
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.
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.
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.
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.
CoRR, 2020

Variational Hyper RNN for Sequence Modeling.
CoRR, 2020

On Variational Learning of Controllable Representations for Text without Supervision.
Proceedings of the 37th International Conference on Machine Learning, 2020

Evaluating Lossy Compression Rates of Deep Generative Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Preventing Posterior Collapse in Sequence VAEs with Pooling.
CoRR, 2019

Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement.
CoRR, 2019

A Cross-Domain Transferable Neural Coherence Model.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Scaling Gaussian Processes.
PhD thesis, 2018

Few-Shot Self Reminder to Overcome Catastrophic Forgetting.
CoRR, 2018

Improving GAN Training via Binarized Representation Entropy (BRE) Regularization.
Proceedings of the 6th International Conference on Learning Representations, 2018

Adversarial Contrastive Estimation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Automatic Selection of t-SNE Perplexity.
CoRR, 2017

2016
Adversarial Manipulation of Deep Representations.
Proceedings of the 4th International Conference on Learning Representations, 2016

2015
Efficient Optimization for Sparse Gaussian Process Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Transductive Log Opinion Pool of Gaussian Process Experts.
CoRR, 2015

2014
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions.
CoRR, 2014


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