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Learning to Stop with Surprisingly Few Samples


Feb 22, 2021
Daniel Russo, Assaf Zeevi, Tianyi Zhang


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RFI Mitigation for One-bit UWB Radar Systems


Feb 17, 2021
Tianyi Zhang, Jiaying Ren, Jian Li, Lam H. Nguyen


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Generative Adversarial Network based Heuristics for Sampling-based Path Planning


Dec 07, 2020
Tianyi Zhang, Jiankun Wang, Max Q. -H. Meng


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Design Paradigms Based on Spring Agonists for Underactuated Robot Hands: Concepts and Application


Nov 06, 2020
Tianjian Chen, Tianyi Zhang, Matei Ciocarlie

* Submitted to International Conference on Robotics and Automation (ICRA) 2021 

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Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection


Aug 08, 2020
Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He

* 11 pages, 4 figures 

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A One-step Approach to Covariate Shift Adaptation


Jul 08, 2020
Tianyi Zhang, Ikko Yamane, Nan Lu, Masashi Sugiyama


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Revisiting Few-sample BERT Fine-tuning


Jul 02, 2020
Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, Yoav Artzi

* Code available at https://github.com/asappresearch/revisit-bert-finetuning 

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Demystifying Orthogonal Monte Carlo and Beyond


May 27, 2020
Han Lin, Haoxian Chen, Tianyi Zhang, Clement Laroche, Krzysztof Choromanski

* 22 pages, 4 figures 

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Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention


Mar 19, 2020
Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang

* 6 pages, 4 figures, accepted as a workshop paper at AI4AH, ICLR 2020 

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An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models


Feb 06, 2020
Yao Deng, Xi Zheng, Tianyi Zhang, Chen Chen, Guannan Lou, Miryung Kim


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Identifying Mislabeled Data using the Area Under the Margin Ranking


Jan 29, 2020
Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger


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Scalable NAS with Factorizable Architectural Parameters


Dec 31, 2019
Lanfei Wang, Lingxi Xie, Tianyi Zhang, Jun Guo, Qi Tian

* 10 pages, 4 figures 

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Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach


Oct 20, 2019
Nan Lu, Tianyi Zhang, Gang Niu, Masashi Sugiyama


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QPyTorch: A Low-Precision Arithmetic Simulation Framework


Oct 09, 2019
Tianyi Zhang, Zhiqiu Lin, Guandao Yang, Christopher De Sa

* NeurIPS 2019 EMC^2 Workshop on Energy Efficient Machine Learning and Cognitive Computing 

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SWALP : Stochastic Weight Averaging in Low-Precision Training


May 20, 2019
Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa

* Published at ICML 2019 

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Fixed-price Diffusion Mechanism Design


May 14, 2019
Tianyi Zhang, Dengji Zhao, Wen Zhang, Xuming He


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BERTScore: Evaluating Text Generation with BERT


Apr 21, 2019
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi

* Code available at https://github.com/Tiiiger/bert_score 

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Simplifying Graph Convolutional Networks


Feb 19, 2019
Felix Wu, Tianyi Zhang, Amauri Holanda de Souza Jr., Christopher Fifty, Tao Yu, Kilian Q. Weinberger

* Code available at https://github.com/Tiiiger/SGC 

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Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference


Mar 29, 2018
Zhize Li, Tianyi Zhang, Jian Li

* 20 pages 

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Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation


Mar 07, 2018
Tianyi Zhang, Guosheng Lin, Jianfei Cai, Tong Shen, Chunhua Shen, Alex C. Kot


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Exploring home robot capabilities by medium fidelity prototyping


Oct 09, 2017
Martin Cooney, Sepideh Pashami, Yuantao Fan, Anita Sant'Anna, Yinrong Ma, Tianyi Zhang, Yuwei Zhao, Wolfgang Hotze, Jeremy Heyne, Cristofer Englund, Achim J. Lilienthal, Tom Ziemke

* 28 pages, 11 figures 

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