Poster

Tue 2:30

A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
Ryuichi Kanoh · Mahito Sugiyama

Poster

Thu 2:30

FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes
David W. Romero · Robert-Jan Bruintjes · Jakub Tomczak · Erik Bekkers · Mark Hoogendoorn · Jan Gemert

Poster

Wed 18:30

Neural Networks as Kernel Learners: The Silent Alignment Effect
Alexander Atanasov · Blake Bordelon · Cengiz Pehlevan

Poster

Thu 2:30

CKConv: Continuous Kernel Convolution For Sequential Data
David W. Romero · Anna Kuzina · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn

Poster

Thu 10:30

Overcoming The Spectral Bias of Neural Value Approximation
Ge Yang · Anurag Ajay · Pulkit Agrawal

Poster

Mon 18:30

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

Poster

Wed 10:30

Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks
Benjamin Bowman · Guido Montufar

Poster

Tue 10:30

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

Workshop

Fri 7:40

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

Poster

Wed 10:30

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

Poster

Mon 10:30

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

Poster

Thu 10:30

Optimization and Adaptive Generalization of Three layer Neural Networks
Khashayar Gatmiry · Stefanie Jegelka · Jonathan Kelner