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Taming Sparsely Activated Transformer with Stochastic Experts


Oct 12, 2021
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao


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Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits


Oct 10, 2021
Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan


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Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect


Oct 07, 2021
Yuqing Wang, Minshuo Chen, Tuo Zhao, Molei Tao

* Questions and comments are welcome 

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Adversarially Regularized Policy Learning Guided by Trajectory Optimization


Sep 16, 2021
Zhigen Zhao, Simiao Zuo, Tuo Zhao, Ye Zhao


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Self-Training with Differentiable Teacher


Sep 15, 2021
Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha


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ARCH: Efficient Adversarial Regularized Training with Caching


Sep 15, 2021
Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao


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Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks


Sep 10, 2021
Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao

* ICML2021, 6770-6780 

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QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction


Sep 05, 2021
Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang

* The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021, Applied Research Track) 
* The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021, Applied Research Track) 

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Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data


Aug 15, 2021
Yan Li, Caleb Ju, Ethan X. Fang, Tuo Zhao


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Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data


Jun 16, 2021
Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao

* The 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021) 

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Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization


Jun 08, 2021
Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen

* The 59th annual meeting of the Association for Computational Linguistics (ACL 2021) 

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Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach


May 18, 2021
Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha


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COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction


May 03, 2021
Siawpeng Er, Shihao Yang, Tuo Zhao


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Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach


Apr 11, 2021
Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao


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Token-wise Curriculum Learning for Neural Machine Translation


Mar 20, 2021
Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao


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Reinforcement Learning for Adaptive Mesh Refinement


Mar 01, 2021
Jiachen Yang, Tarik Dzanic, Brenden Petersen, Jun Kudo, Ketan Mittal, Vladimir Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio Kolev, Robert Anderson, Daniel Faissol

* 14 pages, 13 figures 

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Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach


Feb 28, 2021
Haoming Jiang, Bo Dai, Mengjiao Yang, Tuo Zhao, Wei Wei


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Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization


Feb 24, 2021
Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao


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A Hypergradient Approach to Robust Regression without Correspondence


Nov 30, 2020
Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha


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Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks


Nov 03, 2020
Minshuo Chen, Hao Liu, Wenjing Liao, Tuo Zhao


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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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