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Oral
Tue Jul 20 10:00 PM -- 10:20 PM (KST)
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
In Deep Learning Theory 1
Floris Geerts · Filip Mazowiecki · Guillermo Perez
[ Paper ]
Spotlight
Tue Jul 20 10:20 PM -- 10:25 PM (KST)
Fundamental Tradeoffs in Distributionally Adversarial Training
In Deep Learning Theory 1
Mohammad Mehrabi · Adel Javanmard · Ryan A. Rossi · Anup Rao · Tung Mai
[ Paper ]
Spotlight
Tue Jul 20 10:25 PM -- 10:30 PM (KST)
Towards Understanding Learning in Neural Networks with Linear Teachers
In Deep Learning Theory 1
Roei Sarussi · Alon Brutzkus · Amir Globerson
[ Paper ]
Spotlight
Tue Jul 20 10:30 PM -- 10:35 PM (KST)
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
In Deep Learning Theory 1
Sebastian Lee · Sebastian Goldt · Andrew Saxe
[ Paper ]
Spotlight
Tue Jul 20 10:35 PM -- 10:40 PM (KST)
A Functional Perspective on Learning Symmetric Functions with Neural Networks
In Deep Learning Theory 1
Aaron Zweig · Joan Bruna
[ Paper ]
Spotlight
Tue Jul 20 10:40 PM -- 10:45 PM (KST)
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
In Deep Learning Theory 1
Cristian Bodnar · Fabrizio Frasca · Yuguang Wang · Nina Otter · Guido Montufar · Pietro Lió · Michael Bronstein
[ Paper ]
Spotlight
Tue Jul 20 10:45 PM -- 10:50 PM (KST)
On the Random Conjugate Kernel and Neural Tangent Kernel
In Deep Learning Theory 1
Zhengmian Hu · Heng Huang
[ Paper ]
Q&A
Tue Jul 20 10:50 PM -- 10:55 PM (KST)
Q&A
In Deep Learning Theory 1