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On Model Calibration for Long-Tailed Object Detection and Instance Segmentation

Jul 05, 2021
Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao

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Countering Adversarial Examples: Combining Input Transformation and Noisy Training

Jun 25, 2021
Cheng Zhang, Pan Gao

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Probabilistic DAG Search

Jun 16, 2021
Julia Grosse, Cheng Zhang, Philipp Hennig

* 10 pages, 8 figures, to be published at the Conference on Uncertainty in Artificial Intelligence (UAI) 2021 

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Sparse Uncertainty Representation in Deep Learning with Inducing Weights

May 30, 2021
Hippolyt Ritter, Martin Kukla, Cheng Zhang, Yingzhen Li

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Causally Constrained Data Synthesis for Private Data Release

May 27, 2021
Varun Chandrasekaran, Darren Edge, Somesh Jha, Amit Sharma, Cheng Zhang, Shruti Tople

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Variational Bayesian Supertrees

Apr 22, 2021
Michael Karcher, Cheng Zhang, Frederick A Matsen IV

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Contextual HyperNetworks for Novel Feature Adaptation

Apr 12, 2021
Angus Lamb, Evgeny Saveliev, Yingzhen Li, Sebastian Tschiatschek, Camilla Longden, Simon Woodhead, José Miguel Hernández-Lobato, Richard E. Turner, Pashmina Cameron, Cheng Zhang

* 17 pages, 9 Figures, workshop paper at NeurIPS 2020 Meta-Learning Workshop 

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Numerical Energy Analysis of In-wheel Motor Driven Autonomous Electric Vehicles

Apr 10, 2021
Kang Shen, Fan Yang, Xinyou Ke, Cheng Zhang, Chris Yuan

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Holistic 3D Scene Understanding from a Single Image with Implicit Representation

Mar 11, 2021
Cheng Zhang, Zhaopeng Cui, Yinda Zhang, Bing Zeng, Marc Pollefeys, Shuaicheng Liu

* 11 pages 

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A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection

Feb 17, 2021
Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao

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Estimating $α$-Rank by Maximizing Information Gain

Jan 22, 2021
Tabish Rashid, Cheng Zhang, Kamil Ciosek

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Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows

Dec 01, 2020
Cheng Zhang

* NeurIPS 2020 

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True-data Testbed for 5G/B5G Intelligent Network

Nov 26, 2020
Yongming Huang, Shengheng Liu, Cheng Zhang, Xiaohu You, Hequan Wu

* 11 pages, 9 figures 

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Reinforcement Learning with Efficient Active Feature Acquisition

Nov 02, 2020
Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek

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A Study on Efficiency in Continual Learning Inspired by Human Learning

Oct 28, 2020
Philip J. Ball, Yingzhen Li, Angus Lamb, Cheng Zhang

* Accepted at NeurIPS 2020 BabyMind Workshop 

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Generating Adequate Distractors for Multiple-Choice Questions

Oct 23, 2020
Cheng Zhang, Yicheng Sun, Hejia Chen, Jie Wang

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How Do Fair Decisions Fare in Long-term Qualification?

Oct 21, 2020
Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang

* Accepted to the 34th Conference on Neural Information Processing Systems (NeurIPS) 

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Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things

Oct 15, 2020
Ling Wang, Cheng Zhang, Zejian Luo, Chenguang Liu, Jie Liu, Xi Zheng, Athanasios Vasilakos

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Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management

Oct 04, 2020
Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi

* In Proceedings of the AAAI 2020 (AI for Social Impact Track). Link: 

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Meta Sequence Learning and Its Applications

Oct 04, 2020
Cheng Zhang, Jie Wang

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Intervention Generative Adversarial Networks

Aug 09, 2020
Jiadong Liang, Liangyu Zhang, Cheng Zhang, Zhihua Zhang

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Diagnostic Questions:The NeurIPS 2020 Education Challenge

Aug 03, 2020
Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang

* 28 pages, 6 figures, NeurIPS 2020 Competition Track 

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Hide-and-Seek Privacy Challenge

Jul 24, 2020
James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar

* 19 pages, 5 figures. Part of the NeurIPS 2020 competition track 

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DRIFT: Deep Reinforcement Learning for Functional Software Testing

Jul 16, 2020
Luke Harries, Rebekah Storan Clarke, Timothy Chapman, Swamy V. P. L. N. Nallamalli, Levent Ozgur, Shuktika Jain, Alex Leung, Steve Lim, Aaron Dietrich, José Miguel Hernández-Lobato, Tom Ellis, Cheng Zhang, Kamil Ciosek

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Meta-Learning for Variational Inference

Jul 06, 2020
Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang

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VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data

Jun 21, 2020
Chao Ma, Sebastian Tschiatschek, José Miguel Hernández-Lobato, Richard Turner, Cheng Zhang

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Dynamic gesture retrieval: searching videos by human pose sequence

Jun 13, 2020
Cheng Zhang

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Thoracic Disease Identification and Localization using Distance Learning and Region Verification

Jun 07, 2020
Cheng Zhang, Francine Chen, Yan-Ying Chen

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