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Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities

Jan 01, 2021
Xuefei Ning, Junbo Zhao, Wenshuo Li, Tianchen Zhao, Huazhong Yang, Yu Wang

* 9 pages, 8 pages appendices 

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BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures

Dec 21, 2020
Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang


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TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding

Dec 03, 2020
Yu Wang, Ziqiao Guan, Wei Hou, Fusheng Wang


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aw_nas: A Modularized and Extensible NAS framework

Nov 25, 2020
Xuefei Ning, Changcheng Tang, Wenshuo Li, Songyi Yang, Tianchen Zhao, Niansong Zhang, Tianyi Lu, Shuang Liang, Huazhong Yang, Yu Wang


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Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes

Nov 18, 2020
Feng Gao, Jincheng Yu, Hao Shen, Yu Wang, Huazhong Yang

* accepted by CoRL2020 

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A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment

Nov 09, 2020
Yu Wang, Shu Jiang, Weiman Lin, Yu Cao, Longtao Lin, Jiangtao Hu, Jinghao Miao, Qi Luo

* 8 pages, 12 figures 

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Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning

Nov 03, 2020
Alper Kamil Bozkurt, Yu Wang, Miroslav Pajic


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DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling

Nov 01, 2020
Shu Jiang, Yu Wang, Longtao Lin, Weiman Lin, Yu Cao, Jinghao Miao, Qi Luo


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Face Hallucination Using Split-Attention in Split-Attention Network

Oct 22, 2020
Yuanzhi Wang, Tao Lu, Yu Wang, Yanduo Zhang


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Joint Contrastive Learning with Infinite Possibilities

Oct 10, 2020
Qi Cai, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei

* NeurIPS 2020 Spotlight; Code is publicly available at: https://github.com/caiqi/Joint-Contrastive-Learning 

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How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?

Oct 05, 2020
Shayne Longpre, Yu Wang, Christopher DuBois

* 2 tables; 1 figure; EMNLP Findings 

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Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives

Oct 02, 2020
Alper Kamil Bozkurt, Yu Wang, Michael Zavlanos, Miroslav Pajic


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TDR-OBCA: A Reliable Planner for Autonomous Driving in Free-Space Environment

Sep 23, 2020
Runxin He, Jinyun Zhou, Shu Jiang, Yu Wang, Jiaming Tao, Shiyu Song, Jiangtao Hu, Jinghao Miao, Qi Luo


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DL-IAPS and PJSO: A Path/Speed Decoupled Trajectory Optimization and its Application in Autonomous Driving

Sep 23, 2020
Jinyun Zhou, Runxin He, Yu Wang, Shu Jiang, Zhenguang Zhu, Jiangtao Hu, Jinghao Miao, Qi Luo

* 8 pages, 11 figures 

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A Survey of FPGA-Based Robotic Computing

Sep 13, 2020
Zishen Wan, Bo Yu, Thomas Yuang Li, Jie Tang, Yuhao Zhu, Yu Wang, Arijit Raychowdhury, Shaoshan Liu


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SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context

Sep 11, 2020
Mark Cartwright, Jason Cramer, Ana Elisa Mendez Mendez, Yu Wang, Ho-Hsiang Wu, Vincent Lostanlen, Magdalena Fuentes, Graham Dove, Charlie Mydlarz, Justin Salamon, Oded Nov, Juan Pablo Bello


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Shift Equivariance in Object Detection

Aug 13, 2020
Marco Manfredi, Yu Wang

* Accepted at ECCV 2020 Workshop: Beyond mAP: Reassessing the Evaluation of Object Detectors 

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A Surgery of the Neural Architecture Evaluators

Aug 12, 2020
Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang


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Physical Adversarial Attack on Vehicle Detector in the Carla Simulator

Aug 07, 2020
Tong Wu, Xuefei Ning, Wenshuo Li, Ranran Huang, Huazhong Yang, Yu Wang


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Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

Jul 25, 2020
Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin

* To appear in ECCV 2020 as a spotlight presentation. Code and models are available at: https://github.com/wutong16/DistributionBalancedLoss 

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ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

Jul 20, 2020
Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rihawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost


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Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification

Jul 13, 2020
Yucan Zhou, Yu Wang, Jianfei Cai, Yu Zhou, Qinghua Hu, Weiping Wang

* 9 pages, 6 figures 

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AFDet: Anchor Free One Stage 3D Object Detection

Jun 30, 2020
Runzhou Ge, Zhuangzhuang Ding, Yihan Hu, Yu Wang, Sijia Chen, Li Huang, Yuan Li

* Accepted on May 6th, 2020 by CVPRW 2020, published on June 7th, 2020; Baseline detector for the 1st place solutions of Waymo Open Dataset Challenges 2020 

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