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Oral
Wed Jul 21 11:00 PM -- 11:20 PM (KST)
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
In Deep Learning Theory 3
Shahar Azulay · Edward Moroshko · Mor Shpigel Nacson · Blake Woodworth · Nati Srebro · Amir Globerson · Daniel Soudry
[ Paper ]
Spotlight
Wed Jul 21 11:20 PM -- 11:25 PM (KST)
A statistical perspective on distillation
In Deep Learning Theory 3
Aditya Menon · Ankit Singh Rawat · Sashank Jakkam Reddi · Seungyeon Kim · Sanjiv Kumar
[ Paper ]
Spotlight
Wed Jul 21 11:25 PM -- 11:30 PM (KST)
The Lipschitz Constant of Self-Attention
In Deep Learning Theory 3
Hyunjik Kim · George Papamakarios · Andriy Mnih
[ Paper ]
Spotlight
Wed Jul 21 11:30 PM -- 11:35 PM (KST)
Revealing the Structure of Deep Neural Networks via Convex Duality
In Deep Learning Theory 3
Tolga Ergen · Mert Pilanci
[ Paper ]
Spotlight
Wed Jul 21 11:35 PM -- 11:40 PM (KST)
Representational aspects of depth and conditioning in normalizing flows
In Deep Learning Theory 3
Frederic Koehler · Viraj Mehta · Andrej Risteski
[ Paper ]
Spotlight
Wed Jul 21 11:40 PM -- 11:45 PM (KST)
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
In Deep Learning Theory 3
Zixin Wen · Yuanzhi Li
[ Paper ]
Spotlight
Wed Jul 21 11:45 PM -- 11:50 PM (KST)
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
In Deep Learning Theory 3
Roberto Bondesan · Max Welling
[ Paper ]
Q&A
Wed Jul 21 11:50 PM -- 11:55 PM (KST)
Q&A
In Deep Learning Theory 3