|
Invited Talk
|
Thu 12:30
|
The Forward-Forward Algorithm for Training Deep Neural Networks
Geoffrey Hinton
|
|
|
Workshop
|
Fri 6:30
|
Has it Trained Yet? A Workshop for Algorithmic Efficiency in Practical Neural Network Training
Frank Schneider · Zachary Nado · Philipp Hennig · George Dahl · Naman Agarwal
|
|
|
Workshop
|
|
A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets
Liu Yang · Jifan Zhang · Joseph Shenouda · Dimitris Papailiopoulos · Kangwook Lee · Robert Nowak
|
|
|
Poster
|
Tue 14:00
|
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang · Tom Griffiths · Sergey Levine
|
|
|
Poster
|
Thu 14:00
|
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
Grigory Malinovsky · Kai Yi · Peter Richtarik
|
|
|
Poster
|
Thu 14:00
|
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree
Kaixun Hua · Jiayang Ren · Yankai Cao
|
|
|
Poster
|
|
Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
Jiechao Guan · Yong Liu · Zhiwu Lu
|
|
|
Poster
|
Thu 9:00
|
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
Mingrui Liu · Zhenxun Zhuang · Yunwen Lei · Chunyang Liao
|
|
|
Poster
|
Tue 9:00
|
Sharpness-Aware Training for Free
JIAWEI DU · Daquan Zhou · Jiashi Feng · Vincent Tan · Joey Tianyi Zhou
|
|
