More Practical and Adaptive Algorithms for Online Quantum State Learning

Jun 01, 2020
Yifang Chen, Xin Wang

* 16 pages 

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Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis

May 20, 2020
Yusuke Yasuda, Xin Wang, Junichi Yamagishi

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Variational quantum Gibbs state preparation with a truncated Taylor series

May 18, 2020
Youle Wang, Guangxi Li, Xin Wang

* 23 pages including appendix 

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Design Choices for X-vector Based Speaker Anonymization

May 18, 2020
Brij Mohan Lal Srivastava, Natalia Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi

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Introducing the VoicePrivacy Initiative

May 13, 2020
Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang, Emmanuel Vincent, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Jose Patino, Jean-François Bonastre, Paul-Gauthier Noé, Massimiliano Todisco

* Submitted to Interspeech 2020 

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Self-Supervised Deep Visual Odometry with Online Adaptation

May 13, 2020
Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha

* Accepted by CVPR 2020 oral 

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How fine can fine-tuning be? Learning efficient language models

Apr 24, 2020
Evani Radiya-Dixit, Xin Wang

* 11 pages, 11 figures and 6 tables; accepted to the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020 

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Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading

Mar 27, 2020
Lie Ju, Xin Wang, Xin Zhao, Paul Bonnington, Zongyuan Ge

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Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation

Mar 24, 2020
Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, Paul Bonnington, Tom Drummond, Zongyuan Ge

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Frustratingly Simple Few-Shot Object Detection

Mar 16, 2020
Xin Wang, Thomas E. Huang, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu

* 12 pages, 8 figures 

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Environment-agnostic Multitask Learning for Natural Language Grounded Navigation

Mar 12, 2020
Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi

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Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients

Feb 20, 2020
Ruilin Li, Xin Wang, Hongyuan Zha, Molei Tao

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Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection

Feb 10, 2020
Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu

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Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting

Feb 05, 2020
Xian Zhang, Xin Wang, Bin Kong, Youbing Yin, Qi Song, Siwei Lyu, Jiancheng Lv, Canghong Shi, Xiaojie Li

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VerSe: A Vertebrae Labelling and Segmentation Benchmark

Jan 24, 2020
Anjany Sekuboyina, Amirhossein Bayat, Malek E. Husseini, Maximilian Löffler, Markus Rempfler, Jan Kukačka, Giles Tetteh, Alexander Valentinitsch, Christian Payer, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Stefan Zachowk, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Qingyue Wei, Kevin Brown, Matthias Wolf, Alexandre Kirszenberg, Élodie Puybareauq, Björn H. Menze, Jan S. Kirschke

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Automated Pavement Crack Segmentation Using Fully Convolutional U-Net with a Pretrained ResNet-34 Encoder

Jan 21, 2020
Stephen L. H. Lau, Xin Wang, Xu Yang, Edwin K. P. Chong

* 9 pages, 6 figures 

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Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs

Jan 08, 2020
Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang

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Reject Illegal Inputs with Generative Classifier Derived from Any Discriminative Classifier

Jan 02, 2020
Xin Wang

* 7 pages, 3 figures 

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Deep Learning for Learning Graph Representations

Jan 02, 2020
Wenwu Zhu, Xin Wang, Peng Cui

* 51 pages, 8 figures 

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Theme-Matters: Fashion Compatibility Learning via Theme Attention

Dec 26, 2019
Jui-Hsin Lai, Bo Wu, Xin Wang, Dan Zeng, Tao Mei, Jingen Liu

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"How do urban incidents affect traffic speed?" A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction

Dec 03, 2019
Qinge Xie, Tiancheng Guo, Yang Chen, Yu Xiao, Xin Wang, Ben Y. Zhao

* 18 pages, 8 figures 

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Domain-Aware Dynamic Networks

Nov 26, 2019
Tianyuan Zhang, Bichen Wu, Xin Wang, Joseph Gonzalez, Kurt Keutzer

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Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning

Nov 19, 2019
Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian

* To appear in AAAI-2020 

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