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An Industry Evaluation of Embedding-based Entity Alignment

Nov 07, 2020
Ziheng Zhang, Jiaoyan Chen, Xi Chen, Hualuo Liu, Yuejia Xiang, Bo Liu, Yefeng Zheng

* accepted by COLING 2020 

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APPLI: Adaptive Planner Parameter Learning From Interventions

Nov 01, 2020
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone

* 6 pages, 4 figures 

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APPLR: Adaptive Planner Parameter Learning from Reinforcement

Nov 01, 2020
Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone


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Continuous-time Gaussian Process Trajectory Generation for Multi-robot Formation via Probabilistic Inference

Oct 31, 2020
Shuang Guo, Bo Liu, Shen Zhang, Jifeng Guo, Changhong Wang

* 7 pages, 8 figures. Submitted to ICRA2021. Video supplement: https://www.youtube.com/watch?v=FMObkTgEcHk 

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Human versus Machine Attention in Deep Reinforcement Learning Tasks

Oct 29, 2020
Ruohan Zhang, Bo Liu, Yifeng Zhu, Sihang Guo, Mary Hayhoe, Dana Ballard, Peter Stone


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Extended Abstract: Motion Planners Learned from Geometric Hallucination

Oct 19, 2020
Xuesu Xiao, Bo Liu, Peter Stone


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The NVIDIA PilotNet Experiments

Oct 17, 2020
Mariusz Bojarski, Chenyi Chen, Joyjit Daw, Alperen Değirmenci, Joya Deri, Bernhard Firner, Beat Flepp, Sachin Gogri, Jesse Hong, Lawrence Jackel, Zhenhua Jia, BJ Lee, Bo Liu, Fei Liu, Urs Muller, Samuel Payne, Nischal Kota Nagendra Prasad, Artem Provodin, John Roach, Timur Rvachov, Neha Tadimeti, Jesper van Engelen, Haiguang Wen, Eric Yang, Zongyi Yang


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Agile Robot Navigation through Hallucinated Learning and Sober Deployment

Oct 16, 2020
Xuesu Xiao, Bo Liu, Peter Stone


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Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification Challenge

Oct 11, 2020
Qishen Ha, Bo Liu, Fuxu Liu

* 6 pages, 2 figures 

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Google Landmark Recognition 2020 Competition Third Place Solution

Oct 11, 2020
Qishen Ha, Bo Liu, Fuxu Liu, Peiyuan Liao

* 5 pages, 2 figures 

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Discriminative Segmentation Tracking Using Dual Memory Banks

Sep 29, 2020
Fei Xie, Wankou Yang, Bo Liu, Kaihua Zhang, Wanli Xue, Wangmeng Zuo

* 12 pages 

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Variance-Reduced Off-Policy Memory-Efficient Policy Search

Sep 14, 2020
Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu


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Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature

Aug 29, 2020
Bo Liu, Qiulei Dong, Zhanyi Hu


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Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

Aug 29, 2020
Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris Metaxas

* Accepted to WACV2021 

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Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination

Jul 30, 2020
Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone


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Lifelong Navigation

Jul 30, 2020
Bo Liu, Xuesu Xiao, Peter Stone


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Meta-Learning with Network Pruning

Jul 07, 2020
Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu


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RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network

Jul 04, 2020
Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor


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Finite-Sample Analysis of Proximal Gradient TD Algorithms

Jul 03, 2020
Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik

* 31st Conference on Uncertainty in Artificial Intelligence (UAI). arXiv admin note: substantial text overlap with arXiv:2006.03976 

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A Light-Weighted Convolutional Neural Network for Bitemporal SAR Image Change Detection

Jun 21, 2020
Rongfang Wang, Fan Ding, Licheng Jiao, Jia-Wei Chen, Bo Liu, Wenping Ma, Mi Wang


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Understanding Global Loss Landscape of One-hidden-layer ReLU Networks, Part 2: Experiments and Analysis

Jun 15, 2020
Bo Liu

* arXiv admin note: text overlap with arXiv:2002.04763 

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Few-Shot Open-Set Recognition using Meta-Learning

Jun 07, 2020
Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos


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Stable and Efficient Policy Evaluation

Jun 06, 2020
Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang

* IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS) 

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Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity

Jun 06, 2020
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik

* Journal of Artificial Intelligence (JAIR) 

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