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Poster
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Tue 2:30
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A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
Ryuichi Kanoh · Mahito Sugiyama
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Poster
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Thu 2:30
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FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes
David W. Romero · Robert-Jan Bruintjes · Jakub Tomczak · Erik Bekkers · Mark Hoogendoorn · Jan Gemert
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Poster
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Wed 18:30
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Neural Networks as Kernel Learners: The Silent Alignment Effect
Alexander Atanasov · Blake Bordelon · Cengiz Pehlevan
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Poster
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Thu 2:30
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CKConv: Continuous Kernel Convolution For Sequential Data
David W. Romero · Anna Kuzina · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn
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Poster
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Thu 10:30
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Overcoming The Spectral Bias of Neural Value Approximation
Ge Yang · Anurag Ajay · Pulkit Agrawal
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Poster
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Mon 18:30
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Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting
Ryo Karakida · Shotaro Akaho
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Poster
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Wed 10:30
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Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks
Benjamin Bowman · Guido Montufar
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Poster
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Tue 10:30
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A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS
Namjoon Suh · Hyunouk Ko · Xiaoming Huo
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Workshop
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Fri 7:40
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Local Signal Adaptivity: Feature learning in Neural networks beyond kernels
Aarti Singh
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Poster
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Wed 10:30
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Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers
Guodong Zhang · Aleksandar Botev · James Martens
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Poster
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Mon 10:30
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The Spectral Bias of Polynomial Neural Networks
Moulik Choraria · Leello Dadi · Grigorios Chrysos · Julien Mairal · Volkan Cevher
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Poster
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Thu 10:30
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Optimization and Adaptive Generalization of Three layer Neural Networks
Khashayar Gatmiry · Stefanie Jegelka · Jonathan Kelner
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