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Online Active Model Selection for Pre-trained Classifiers

Oct 21, 2020
Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlaš, Johannes Rausch, Ce Zhang, Andreas Krause


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On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy

Oct 16, 2020
Cedric Renggli, Luka Rimanic, Luka Kolar, Nora Hollenstein, Wentao Wu, Ce Zhang


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On Convergence of Nearest Neighbor Classifiers over Feature Transformations

Oct 15, 2020
Luka Rimanic, Cedric Renggli, Bo Li, Ce Zhang


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Which Model to Transfer? Finding the Needle in the Growing Haystack

Oct 13, 2020
Cedric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic


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MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions

Oct 12, 2020
Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

* Under submission 

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Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing

Sep 21, 2020
Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao

* 25 pages, 4 figures 

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A Principled Approach to Data Valuation for Federated Learning

Sep 14, 2020
Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song


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APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm

Aug 28, 2020
Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang


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A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery

Aug 25, 2020
Ce Zhang, Azim Eskandarian

* Accepted by 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society, 2020 

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A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis

Aug 25, 2020
Ce Zhang, Azim Eskandarian

* Accepted by IEEE/CAA Journal of Automatica Sinica 

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Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph

Jul 29, 2020
Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou


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Adversarial Learning for Debiasing Knowledge Graph Embeddings

Jun 29, 2020
Mario Arduini, Lorenzo Noci, Federico Pirovano, Ce Zhang, Yash Raj Shrestha, Bibek Paudel


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Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions

May 12, 2020
Bojan Karlaš, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang


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Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation

Apr 30, 2020
Giuseppe Russo, Nora Hollenstein, Claudiu Musat, Ce Zhang


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Improving BERT with Self-Supervised Attention

Apr 29, 2020
Xiaoyu Kou, Yaming Yang, Yujing Wang, Ce Zhang, Yiren Chen, Yunhai Tong, Yan Zhang, Jing Bai


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TrueBranch: Metric Learning-based Verification of Forest Conservation Projects

Apr 21, 2020
Simona Santamaria, David Dao, Björn Lütjens, Ce Zhang

* *Authors have contributed equally. Published as Spotlight Presentation at ICLR 2020 Workshop on Tackling Climate Change with Machine Learning 

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Provable Robust Learning Based on Transformation-Specific Smoothing

Mar 20, 2020
Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li

* Corrected typos in Appendix 

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RAB: Provable Robustness Against Backdoor Attacks

Mar 19, 2020
Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li


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End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines

Mar 06, 2020
Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang

* 43 pages, 9 figures 

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A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet

Mar 03, 2020
Xinzheng Zhang, Hang Su, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xiaoping Zeng, Xin Jian

* 5 pages, 4 figures 

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Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection

Jan 17, 2020
Xinzheng Zhang, Guo Liu, Ce Zhang, Peter M Atkinson, Xiaoheng Tan, Xin Jian, Xichuan Zhou, Yongming Li


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TextNAS: A Neural Architecture Search Space tailored for Text Representation

Dec 23, 2019
Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou


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Data Science through the looking glass and what we found there

Dec 19, 2019
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer


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Support Vector Machine Classifier via $L_{0/1}$ Soft-Margin Loss

Dec 16, 2019
Huajun Wang, Yuanhai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu


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ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation

Dec 02, 2019
Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer


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