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Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

Oct 22, 2020
Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang

* EMNLP2020 long paper 

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Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

Oct 20, 2020
Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang


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How Important is the Train-Validation Split in Meta-Learning?

Oct 12, 2020
Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham Kakade, Huan Wang, Caiming Xiong


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Residual Network Based Direct Synthesis of EM Structures: A Study on One-to-One Transformers

Aug 25, 2020
David Munzer, Siawpeng Er, Minshuo Chen, Yan Li, Naga S. Mannem, Tuo Zhao, Hua Wang

* IEEE Radio Frequency Integrated Circuits Symposium (RFIC) 2020 

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BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision

Jun 28, 2020
Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang

* Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20) 

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The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R

Jun 27, 2020
Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu

* Journal of Machine Learning Research 16 (2015) 553-557 

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Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python

Jun 27, 2020
Jason Ge, Xingguo Li, Haoming Jiang, Han Liu, Tong Zhang, Mengdi Wang, Tuo Zhao

* Journal of Machine Learning Research 20 (2019): 44-1 

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The huge Package for High-dimensional Undirected Graph Estimation in R

Jun 26, 2020
Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty, Larry Wasserman

* Published on JMLR in 2012 

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Towards Understanding Hierarchical Learning: Benefits of Neural Representations

Jun 24, 2020
Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher


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Deep Reinforcement Learning with Smooth Policy

Mar 24, 2020
Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao


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Transformer Hawkes Process

Feb 21, 2020
Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha


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Differentiable Top-k Operator with Optimal Transport

Feb 18, 2020
Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister


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Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? -- A Neural Tangent Kernel Perspective

Feb 14, 2020
Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao


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Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation

Feb 10, 2020
Minshuo Chen, Wenjing Liao, Hongyuan Zha, Tuo Zhao


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On Computation and Generalization of Generative Adversarial Imitation Learning

Jan 12, 2020
Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao


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SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

Nov 08, 2019
Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao


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Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing

Nov 07, 2019
Haoming Jiang, Chen Liang, Chong Wang, Tuo Zhao


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On Generalization Bounds of a Family of Recurrent Neural Networks

Nov 04, 2019
Minshuo Chen, Xingguo Li, Tuo Zhao

* 30 pages, 5 figures 

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Towards Understanding the Importance of Shortcut Connections in Residual Networks

Sep 11, 2019
Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao

* Thirty-third Conference on Neural Information Processing Systems, 2019 

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Towards Understanding the Importance of Noise in Training Neural Networks

Sep 07, 2019
Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao

* International Conference on Machine Learning (ICML), 2019 

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Meta Learning with Relational Information for Short Sequences

Sep 04, 2019
Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha


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Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds

Aug 05, 2019
Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao


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Inductive Bias of Gradient Descent based Adversarial Training on Separable Data

Jun 10, 2019
Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao


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On Scalable and Efficient Computation of Large Scale Optimal Transport

May 14, 2019
Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha


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On Computation and Generalization of GANs with Spectrum Control

Dec 28, 2018
Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao

* Seventh International Conference on Learning Representations, ICLR 2019 

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Learning to Defense by Learning to Attack

Nov 03, 2018
Zhehui Chen, Haoming Jiang, Bo Dai, Tuo Zhao


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Provable Gaussian Embedding with One Observation

Oct 25, 2018
Ming Yu, Zhuoran Yang, Tuo Zhao, Mladen Kolar, Zhaoran Wang


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