Poster

Mon 10:30

The Spectral Bias of Polynomial Neural Networks
Moulik Choraria · Leello Dadi · Grigorios Chrysos · Julien Mairal · Volkan Cevher

Poster

Wed 10:30

Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers
Guodong Zhang · Aleksandar Botev · James Martens

Poster

Wed 18:30

Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Wensi Tang · Guodong Long · Lu Liu · Tianyi Zhou · Michael Blumenstein · Jing Jiang

Poster

Tue 10:30

A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS
Namjoon Suh · Hyunouk Ko · Xiaoming Huo

Poster

Tue 10:30

Feature Kernel Distillation
Bobby He · Mete Ozay

Poster

Mon 2:30

The Three Stages of Learning Dynamics in High-dimensional Kernel Methods
Nikhil Ghosh · Song Mei · Bin Yu

Poster

Wed 10:30

Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
Prashant Khanduri · Haibo Yang · Mingyi Hong · Jia Liu · Hoi To Wai · Sijia Liu

Poster

Wed 18:30

Declarative nets that are equilibrium models
Russell Tsuchida · Suk Yee Yong · Mohammad Ali Armin · Lars Petersson · Cheng Soon Ong

Workshop

Fri 7:40

Local Signal Adaptivity: Feature learning in Neural networks beyond kernels
Aarti Singh

Poster

Mon 18:30

Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting
Ryo Karakida · Shotaro Akaho

Poster

Mon 2:30

Random matrices in service of ML footprint: ternary random features with no performance loss
Hafiz Tiomoko Ali · Zhenyu Liao · Romain Couillet

Poster

Thu 10:30

Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions
Shaochen (Henry) Zhong · Guanqun Zhang · Ningjia Huang · shuai xu