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2020 – today
- 2024
[c16]Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson:
Jump Starting Bandits with LLM-Generated Prior Knowledge. EMNLP 2024: 19821-19833- [c15]Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou:
Ensemble Distillation for Unsupervised Constituency Parsing. ICLR 2024 - [c14]Yongchang Hao, Yanshuai Cao, Lili Mou:
Flora: Low-Rank Adapters Are Secretly Gradient Compressors. ICML 2024 - [i25]Yongchang Hao, Yanshuai Cao, Lili Mou:
Flora: Low-Rank Adapters Are Secretly Gradient Compressors. CoRR abs/2402.03293 (2024) - [i24]Yongchang Hao, Yanshuai Cao, Lili Mou:
Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks. CoRR abs/2402.03295 (2024) - [i23]Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou:
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. CoRR abs/2403.00144 (2024) - [i22]Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson:
Jump Starting Bandits with LLM-Generated Prior Knowledge. CoRR abs/2406.19317 (2024) - [i21]Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao:
Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models. CoRR abs/2407.12979 (2024) - 2023
- [c13]Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou:
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. ICLR 2023 - [i20]Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou:
Ensemble Distillation for Unsupervised Constituency Parsing. CoRR abs/2310.01717 (2023) - 2022
- [i19]Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou:
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. CoRR abs/2209.14627 (2022) - 2021
- [c12]Peng Xu, Wenjie Zi, Hamidreza Shahidi, Ákos Kádár, Keyi Tang, Wei Yang, Jawad Ateeq, Harsh Barot, Meidan Alon, Yanshuai Cao:
TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface. ACL (demo) 2021: 298-305 - [c11]Sajad Norouzi, Keyi Tang, Yanshuai Cao:
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data. ACL/IJCNLP (2) 2021: 776-785 - [c10]Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J. D. Prince, Yanshuai Cao:
Optimizing Deeper Transformers on Small Datasets. ACL/IJCNLP (1) 2021: 2089-2102 - [c9]Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaïane, Lili Mou:
A Globally Normalized Neural Model for Semantic Parsing. SPNLP@ACL-IJCNLP 2021: 61-66 - [i18]Sajad Norouzi, Yanshuai Cao:
Semantic Parsing with Less Prior and More Monolingual Data. CoRR abs/2101.00259 (2021) - [i17]Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar R. Zaïane, Lili Mou:
A Globally Normalized Neural Model for Semantic Parsing. CoRR abs/2106.03376 (2021) - [i16]Peng Xu, Wenjie Zi, Hamidreza Shahidi, Ákos Kádár, Keyi Tang, Wei Yang, Jawad Ateeq, Harsh Barot, Meidan Alon, Yanshuai Cao:
Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface. CoRR abs/2106.04559 (2021) - [i15]Wei Yang, Peng Xu, Yanshuai Cao:
Hierarchical Neural Data Synthesis for Semantic Parsing. CoRR abs/2112.02212 (2021) - 2020
- [c8]Yanshuai Cao, Peng Xu:
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer. AISTATS 2020: 3991-4001 - [c7]Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse:
Evaluating Lossy Compression Rates of Deep Generative Models. ICML 2020: 4444-4454 - [c6]Peng Xu, Jackie Chi Kit Cheung, Yanshuai Cao:
On Variational Learning of Controllable Representations for Text without Supervision. ICML 2020: 10534-10543 - [i14]Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker:
Variational Hyper RNN for Sequence Modeling. CoRR abs/2002.10501 (2020) - [i13]Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse:
Evaluating Lossy Compression Rates of Deep Generative Models. CoRR abs/2008.06653 (2020) - [i12]Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, Jackie Chi Kit Cheung, Yanshuai Cao:
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing. CoRR abs/2012.15355 (2020)
2010 – 2019
- 2019
- [c5]Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung:
A Cross-Domain Transferable Neural Coherence Model. ACL (1) 2019: 678-687 - [i11]Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung:
A Cross-Domain Transferable Neural Coherence Model. CoRR abs/1905.11912 (2019) - [i10]Peng Xu, Yanshuai Cao, Jackie Chi Kit Cheung:
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement. CoRR abs/1905.11975 (2019) - [i9]Yanshuai Cao, Peng Xu:
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer. CoRR abs/1905.11978 (2019) - [i8]Teng Long, Yanshuai Cao, Jackie Chi Kit Cheung:
Preventing Posterior Collapse in Sequence VAEs with Pooling. CoRR abs/1911.03976 (2019) - 2018
- [b1]Yanshuai Cao:
Scaling Gaussian Processes. University of Toronto, Canada, 2018 - [c4]Avishek Joey Bose, Huan Ling, Yanshuai Cao:
Adversarial Contrastive Estimation. ACL (1) 2018: 1021-1032 - [c3]Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang:
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. ICLR (Poster) 2018 - [i7]Avishek Joey Bose, Huan Ling, Yanshuai Cao:
Adversarial Contrastive Estimation. CoRR abs/1805.03642 (2018) - [i6]Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang:
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. CoRR abs/1805.03644 (2018) - [i5]Junfeng Wen, Yanshuai Cao, Ruitong Huang:
Few-Shot Self Reminder to Overcome Catastrophic Forgetting. CoRR abs/1812.00543 (2018) - 2017
- [i4]Yanshuai Cao, Luyu Wang:
Automatic Selection of t-SNE Perplexity. CoRR abs/1708.03229 (2017) - 2016
- [c2]Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet:
Adversarial Manipulation of Deep Representations. ICLR (Poster) 2016 - 2015
- [j1]Yanshuai Cao, Marcus A. Brubaker
, David J. Fleet, Aaron Hertzmann:
Efficient Optimization for Sparse Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2415-2427 (2015) - [i3]Yanshuai Cao, David J. Fleet:
Transductive Log Opinion Pool of Gaussian Process Experts. CoRR abs/1511.07551 (2015) - 2014
- [i2]Yanshuai Cao, David J. Fleet:
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions. CoRR abs/1410.7827 (2014) - 2013
- [c1]Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann:
Efficient Optimization for Sparse Gaussian Process Regression. NIPS 2013: 1097-1105 - [i1]Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann:
Efficient Optimization for Sparse Gaussian Process Regression. CoRR abs/1310.6007 (2013)
Coauthor Index
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last updated on 2024-11-15 20:38 CET by the dblp team
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