On the asymptotics of wide networks with polynomial activations

11 June 2020

Papers citing "On the asymptotics of wide networks with polynomial activations"

10 / 10 papers shown

Title
Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities Alberto Bordino Stefano Favaro S. Fortini 28 7 0 08 Apr 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 36 42 0 13 Feb 2023
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation Noel Loo Ramin Hasani Mathias Lechner Alexander Amini Daniela Rus DD 52 5 0 02 Feb 2023
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 47 13 0 21 Oct 2022
Meta-Principled Family of Hyperparameter Scaling Strategies Sho Yaida 58 16 0 10 Oct 2022
Contrasting random and learned features in deep Bayesian linear regression Jacob A. Zavatone-Veth William L. Tong Cengiz Pehlevan BDL MLT 38 27 0 01 Mar 2022
Rate of Convergence of Polynomial Networks to Gaussian Processes Adam Klukowski 24 13 0 04 Nov 2021
Neural Networks as Kernel Learners: The Silent Alignment Effect Alexander B. Atanasov Blake Bordelon Cengiz Pehlevan MLT 30 75 0 29 Oct 2021
Asymptotics of representation learning in finite Bayesian neural networks Jacob A. Zavatone-Veth Abdulkadir Canatar Benjamin S. Ruben Cengiz Pehlevan 28 28 0 01 Jun 2021
Whitening and second order optimization both make information in the dataset unusable during training, and can reduce or prevent generalization Neha S. Wadia Daniel Duckworth S. Schoenholz Ethan Dyer Jascha Narain Sohl-Dickstein 34 13 0 17 Aug 2020