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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 10:00 AM -- 10:20 AM (KST)
Dissecting Supervised Constrastive Learning
In Deep Learning Theory 5
Florian Graf · Christoph Hofer · Marc Niethammer · Roland Kwitt
[ Paper ]
Spotlight
Thu Jul 22 10:20 AM -- 10:25 AM (KST)
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
In Deep Learning Theory 5
Kangqiao Liu · Liu Ziyin · Masahito Ueda
[ Paper ]
Spotlight
Thu Jul 22 10:25 AM -- 10:30 AM (KST)
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks
In Deep Learning Theory 5
Greg Yang · Edward Hu
[ Paper ]
Spotlight
Thu Jul 22 10:30 AM -- 10:35 AM (KST)
Scaling Properties of Deep Residual Networks
In Deep Learning Theory 5
Alain-Sam Cohen · Rama Cont · Alain Rossier · Renyuan Xu
[ Paper ]
Spotlight
Thu Jul 22 10:35 AM -- 10:40 AM (KST)
Contrastive Learning Inverts the Data Generating Process
In Deep Learning Theory 5
Roland S. Zimmermann · Yash Sharma · Steffen Schneider · Matthias Bethge · Wieland Brendel
[ Paper ]
Spotlight
Thu Jul 22 10:40 AM -- 10:45 AM (KST)
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
In Deep Learning Theory 5
Greg Yang · Etai Littwin
[ Paper ]
Spotlight
Thu Jul 22 10:45 AM -- 10:50 AM (KST)
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
In Deep Learning Theory 5
Shiwei Liu · Lu Yin · Decebal Mocanu · Mykola Pechenizkiy
[ Paper ]
Q&A
Thu Jul 22 10:50 AM -- 10:55 AM (KST)
Q&A
In Deep Learning Theory 5