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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 09:00 PM -- 09:20 PM (KST)
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 09:20 PM -- 09:25 PM (KST)
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 09:25 PM -- 09:30 PM (KST)
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 09:30 PM -- 09:35 PM (KST)
Generative Adversarial Transformers
In Deep Learning Architectures
Drew A. Hudson · Larry Zitnick
[ Paper ]
Spotlight
Tue Jul 20 09:35 PM -- 09:40 PM (KST)
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 09:40 PM -- 09:45 PM (KST)
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 09:45 PM -- 09:50 PM (KST)
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 09:50 PM -- 09:55 PM (KST)
Q&A
In Deep Learning Architectures