|
Poster
|
Tue 2:30
|
Tuning Frequency Bias in Neural Network Training with Nonuniform Data
Annan Yu · Yunan Yang · Alex Townsend
|
|
|
Poster
|
Tue 2:30
|
Adaptive Optimization in the ∞-Width Limit
Etai Littwin · Greg Yang
|
|
|
Poster
|
Mon 2:30
|
Trainability Preserving Neural Pruning
Huan Wang · Yun Fu
|
|
|
Poster
|
Wed 2:30
|
Kernel Neural Optimal Transport
Alexander Korotin · Daniil Selikhanovych · Evgeny Burnaev
|
|
|
Poster
|
|
Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel
Ryuichi Kanoh · Mahito Sugiyama
|
|
|
Poster
|
Tue 2:30
|
Few-shot Backdoor Attacks via Neural Tangent Kernels
Jonathan Hayase · Sewoong Oh
|
|
|
Poster
|
Wed 7:30
|
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
Akiyama Shunta · Taiji Suzuki
|
|
|
Poster
|
|
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
Difan Zou · Yuan Cao · Yuanzhi Li · Quanquan Gu
|
|
|
Poster
|
|
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
Filipe Belbute-Peres · Zico Kolter
|
|
|
Poster
|
|
Symmetric Pruning in Quantum Neural Networks
Xinbiao Wang · Junyu Liu · Tongliang Liu · Yong Luo · Yuxuan Du · Dacheng Tao
|
|
|
Poster
|
Tue 2:30
|
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
Alexander Atanasov · Blake Bordelon · Sabarish Sainathan · Cengiz Pehlevan
|
|
|
Poster
|
|
Supervision Complexity and its Role in Knowledge Distillation
Hrayr Harutyunyan · Ankit Singh Rawat · Aditya Krishna Menon · Seungyeon Kim · Sanjiv Kumar
|
|
