Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?

28 March 2022

Papers citing "Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?"

8 / 8 papers shown

Title
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation P. Rumiantsev Mark Coates 48 0 0 27 Feb 2025
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance Raphael T. Husistein Markus Reiher Marco Eckhoff 142 1 0 20 Feb 2025
Neural Lineage Runpeng Yu Xinchao Wang 26 4 0 17 Jun 2024
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 50 0 0 10 Jun 2024
Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel Ryuichi Kanoh M. Sugiyama 20 2 0 25 May 2022
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 109 46 0 29 Jan 2021
Understanding and Robustifying Differentiable Architecture Search Arber Zela T. Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter OOD AAML 66 366 0 20 Sep 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016