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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 07:00 PM -- 07:20 PM (PDT)
Graph Neural Networks Inspired by Classical Iterative Algorithms
In Representation Learning 6
Yang Yongyi · Tang Liu · Yangkun Wang · Jinjing Zhou · Quan Gan · Zhewei Wei · Zheng Zhang · Zengfeng Huang · David Wipf
[ Paper ]
Spotlight
Thu Jul 22 07:20 PM -- 07:25 PM (PDT)
FILTRA: Rethinking Steerable CNN by Filter Transform
In Representation Learning 6
Bo Li · Qili Wang · Gim Hee Lee
[ Paper ]
Spotlight
Thu Jul 22 07:25 PM -- 07:30 PM (PDT)
Link Prediction with Persistent Homology: An Interactive View
In Representation Learning 6
Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Chao Chen
[ Paper ]
Spotlight
Thu Jul 22 07:30 PM -- 07:35 PM (PDT)
Conjugate Energy-Based Models
In Representation Learning 6
Hao Wu · Babak Esmaeili · Michael Wick · Jean-Baptiste Tristan · Jan-Willem van de Meent
[ Paper ]
Spotlight
Thu Jul 22 07:35 PM -- 07:40 PM (PDT)
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
In Representation Learning 6
Kieran Murphy · Carlos Esteves · Varun Jampani · Srikumar Ramalingam · Ameesh Makadia
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
Equivariant Networks for Pixelized Spheres
In Representation Learning 6
Mehran Shakerinava · Siamak Ravanbakhsh
[ Paper ]
Spotlight
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Efficient Statistical Tests: A Neural Tangent Kernel Approach
In Representation Learning 6
Sheng Jia · Ehsan Nezhadarya · Yuhuai Wu · Jimmy Ba
[ Paper ]
Q&A
Thu Jul 22 07:50 PM -- 07:55 PM (PDT)
Q&A
In Representation Learning 6