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Alexa, Let's Work Together: Introducing the First Alexa Prize TaskBot Challenge on Conversational Task Assistance


Sep 13, 2022
Anna Gottardi, Osman Ipek, Giuseppe Castellucci, Shui Hu, Lavina Vaz, Yao Lu, Anju Khatri, Anjali Chadha, Desheng Zhang, Sattvik Sahai, Prerna Dwivedi, Hangjie Shi, Lucy Hu, Andy Huang, Luke Dai, Bofei Yang, Varun Somani, Pankaj Rajan, Ron Rezac, Michael Johnston, Savanna Stiff, Leslie Ball, David Carmel, Yang Liu, Dilek Hakkani-Tur, Oleg Rokhlenko, Kate Bland, Eugene Agichtein, Reza Ghanadan, Yoelle Maarek

* 14 pages, Proceedings of Alexa Prize Taskbot (Alexa Prize 2021) 

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The least-used key selection method for information retrieval in large-scale Cloud-based service repositories


Aug 16, 2022
Jiayan Gu, Ashiq Anjum, Yan Wu, Lu Liu, John Panneerselvam, Yao Lu, Bo Yuan


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Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures


May 10, 2022
Yongji Wu, Matthew Lentz, Danyang Zhuo, Yao Lu


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Jump-Start Reinforcement Learning


Apr 05, 2022
Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman

* 20 pages, 10 figures 

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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances


Apr 04, 2022
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan

* See website at https://say-can.github.io/ 

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On-Sensor Binarized Fully Convolutional Neural Network with A Pixel Processor Array


Feb 02, 2022
Yanan Liu, Laurie Bose, Yao Lu, Piotr Dudek, Walterio Mayol-Cuevas


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HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks


Jan 25, 2022
Su Zheng, Zhen Li, Yao Lu, Jingbo Gao, Jide Zhang, Lingli Wang


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Detail-Preserving Transformer for Light Field Image Super-Resolution


Jan 02, 2022
Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di

* AAAI2022, Code: https://github.com/BITszwang/DPT 

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Graph Modularity: Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks


Nov 24, 2021
Yao Lu, Wen Yang, Yunzhe Zhang, Jinhuan Wang, Shengbo Gong, Zhuangzhi Chen, Zuohui Chen, Qi Xuan, Xiaoniu Yang


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Graph-Based Similarity of Neural Network Representations


Nov 22, 2021
Zuohui Chen, Yao Lu, Wen Yang, Qi Xuan, Xiaoniu Yang


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