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Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
Dissecting Supervised Constrastive Learning
In Deep Learning Theory 5
Florian Graf · Christoph Hofer · Marc Niethammer · Roland Kwitt
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
In Deep Learning Theory 5
Kangqiao Liu · Liu Ziyin · Masahito Ueda
[ Paper ]
Spotlight
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks
In Deep Learning Theory 5
Greg Yang · Edward Hu
[ Paper ]
Spotlight
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
Scaling Properties of Deep Residual Networks
In Deep Learning Theory 5
Alain-Sam Cohen · Rama Cont · Alain Rossier · Renyuan Xu
[ Paper ]
Spotlight
Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
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
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
In Deep Learning Theory 5
Greg Yang · Etai Littwin
[ Paper ]
Spotlight
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
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
Wed Jul 21 06:50 PM -- 06:55 PM (PDT)
Q&A
In Deep Learning Theory 5