Ridgeless Interpolation with Shallow ReLU Networks in $1D$ is Nearest Neighbor Curvature Extrapolation and Provably Generalizes on Lipschitz Functions

27 September 2021

Papers citing "Ridgeless Interpolation with Shallow ReLU Networks in $1D$ is Nearest Neighbor Curvature Extrapolation and Provably Generalizes on Lipschitz Functions"

9 / 9 papers shown

Title
The Effects of Multi-Task Learning on ReLU Neural Network Functions Julia B. Nakhleh Joseph Shenouda Robert D. Nowak 34 1 0 29 Oct 2024
How do Minimum-Norm Shallow Denoisers Look in Function Space? Chen Zeno Greg Ongie Yaniv Blumenfeld Nir Weinberger Daniel Soudry 20 8 0 12 Nov 2023
Minimum norm interpolation by perceptra: Explicit regularization and implicit bias Jiyoung Park Ian Pelakh Stephan Wojtowytsch 42 2 0 10 Nov 2023
Noisy Interpolation Learning with Shallow Univariate ReLU Networks Nirmit Joshi Gal Vardi Nathan Srebro 32 8 0 28 Jul 2023
Optimal bump functions for shallow ReLU networks: Weight decay, depth separation and the curse of dimensionality Stephan Wojtowytsch 22 1 0 02 Sep 2022
$Intrinsic dimensionality and generalization properties of the $\mathcal{R}$-norm inductive bias$ Intrinsic dimensionality and generalization properties of the $\mathcal{R}$ -norm inductive bias Navid Ardeshir Daniel J. Hsu Clayton Sanford CML AI4CE 18 6 0 10 Jun 2022
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias Itay Safran Gal Vardi Jason D. Lee MLT 53 23 0 18 May 2022
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 220 348 0 14 Jun 2018
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015