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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Relative Positional Encoding for Transformers with Linear Complexity
In Deep Learning Architectures
Antoine Liutkus · Ondřej Cífka · Shih-Lun Wu · Umut Simsekli · Yi-Hsuan Yang · Gaël RICHARD
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
In Deep Learning Architectures
Yuhang Li · Shikuang Deng · Xin Dong · Ruihao Gong · Shi Gu
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
In Deep Learning Architectures
Tianlong Chen · Yongduo Sui · Xuxi Chen · Aston Zhang · Zhangyang “Atlas” Wang
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Generative Adversarial Transformers
In Deep Learning Architectures
Drew A. Hudson · Larry Zitnick
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Evolving Attention with Residual Convolutions
In Deep Learning Architectures
Yujing Wang · Yaming Yang · Jiangang Bai · Mingliang Zhang · Jing Bai · JING YU · Ce Zhang · Gao Huang · Yunhai Tong
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Zoo-Tuning: Adaptive Transfer from A Zoo of Models
In Deep Learning Architectures
Yang Shu · Zhi Kou · Zhangjie Cao · Jianmin Wang · Mingsheng Long
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
UnICORNN: A recurrent model for learning very long time dependencies
In Deep Learning Architectures
T. Konstantin Rusch · Siddhartha Mishra
[ Paper ]
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Deep Learning Architectures