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Oral
Wed Jul 21 09:00 PM -- 09:20 PM (KST)
On Energy-Based Models with Overparametrized Shallow Neural Networks
In Deep Learning Theory 2
Carles Domingo-Enrich · Alberto Bietti · Eric Vanden-Eijnden · Joan Bruna
[ Paper ]
Spotlight
Wed Jul 21 09:20 PM -- 09:25 PM (KST)
Uncertainty Principles of Encoding GANs
In Deep Learning Theory 2
Ruili Feng · Zhouchen Lin · Jiapeng Zhu · Deli Zhao · Jingren Zhou · Zheng-Jun Zha
[ Paper ]
Spotlight
Wed Jul 21 09:25 PM -- 09:30 PM (KST)
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
In Deep Learning Theory 2
Quynh Nguyen
[ Paper ]
Spotlight
Wed Jul 21 09:30 PM -- 09:35 PM (KST)
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
In Deep Learning Theory 2
Quynh Nguyen · Marco Mondelli · Guido Montufar
[ Paper ]
Spotlight
Wed Jul 21 09:35 PM -- 09:40 PM (KST)
Functional Space Analysis of Local GAN Convergence
In Deep Learning Theory 2
Valentin Khrulkov · Artem Babenko · Ivan Oseledets
[ Paper ]
Spotlight
Wed Jul 21 09:40 PM -- 09:45 PM (KST)
Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
In Deep Learning Theory 2
Zitong Yang · Yu Bai · Song Mei
[ Paper ]
Spotlight
Wed Jul 21 09:45 PM -- 09:50 PM (KST)
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
In Deep Learning Theory 2
Spencer Frei · Yuan Cao · Quanquan Gu
[ Paper ]
Q&A
Wed Jul 21 09:50 PM -- 09:55 PM (KST)
Q&A
In Deep Learning Theory 2