|
Affinity Workshop
|
Mon 19:15
|
1-Path-Norm Regularization of Deep Neural Networks
Fabian Latorre · Antoine Bonnet · Paul Rolland · Nadav Hallak · Volkan Cevher
|
|
|
Workshop
|
|
Dataset Pruning Using Early Exit Networks
Alperen Gormez · Erdem Koyuncu
|
|
|
Poster
|
Wed 17:00
|
Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods
Brian Irwin · Eldad Haber · Raviv Gal · Avi Ziv
|
|
|
Workshop
|
|
A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation
Adam Perrett · Danny Wood · Gavin Brown
|
|
|
Workshop
|
|
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
Sofiane ENNADIR · Yassine Abbahaddou · Michalis Vazirgiannis · Henrik Boström
|
|
|
Workshop
|
|
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
|
|
|
Workshop
|
|
A Representer Theorem for Vector-Valued Neural Networks: Insights on Weight Decay Training and Widths of Deep Neural Networks
Joseph Shenouda · Rahul Parhi · Kangwook Lee · Robert Nowak
|
|
|
Workshop
|
Fri 14:10
|
Neural Networks Are Graphs! Graph Neural Networks for Equivariant Processing of Neural Networks
David Zhang · Miltiadis (Miltos) Kofinas · Yan Zhang · Yunlu Chen · Gertjan Burghouts · Cees Snoek
|
|
|
Workshop
|
|
HiGen: Hierarchical Graph Generative Networks
Mahdi Karami
|
|
|
Poster
|
Tue 17:00
|
A Three-regime Model of Network Pruning
Yefan Zhou · Yaoqing Yang · Arin Chang · Michael Mahoney
|
|
