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A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel

International Conference on Machine Learning (ICML), 2022

25 June 2022

Mohamad Amin Mohamadi

Papers citing "A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel"

21 / 21 papers shown

Title
Scalable Data Attribution via Forward-Only Test-Time Inference Sibo Ma Julian Nyarko TDI 166 0 0 25 Nov 2025
Convergence and Sketching-Based Efficient Computation of Neural Tangent Kernel Weights in Physics-Based Loss Max Hirsch F. Pichi 55 0 0 19 Nov 2025
Feature Identification via the Empirical NTK Jennifer Lin 103 0 0 01 Oct 2025
LEAD: Exploring Logit Space Evolution for Model SelectionComputer Vision and Pattern Recognition (CVPR), 2024 Zixuan Hu Xiaotong Li Shixiang Tang Jun Liu Yichun Hu Ling-yu Duan 135 7 0 19 Jul 2025
Models of Heavy-Tailed Mechanistic Universality Liam Hodgkinson Zhichao Wang Michael W. Mahoney 221 3 0 04 Jun 2025
Is Supervised Learning Really That Different from Unsupervised? Oskar Allerbo Thomas B. Schön OOD SSL 438 0 0 16 May 2025
Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker ModelInternational Conference on Learning Representations (ICLR), 2025 Zhiwei Xu Zhiyu Ni Yixin Wang Wei Hu CLL 261 3 0 17 Apr 2025
Towards Understanding the Optimization Mechanisms in Deep Learning Binchuan Qi Wei Gong Li Li 236 1 0 29 Mar 2025
Parametric Value Approximation for General-sum Differential Games with State Constraints Lei Zhang Mukesh Ghimire Wenlong Zhang Z. Xu Yi Ren 216 0 0 10 Mar 2025
STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation Alireza Morsali MohammadJavad Vaez Mohammadhossein Soltani Amirhossein Kazerouni Babak Taati Morteza Mohammad-Noori 855 2 0 02 Feb 2025
Predicting the Encoding Error of SIRENs Jeremy Vonderfecht Feng Liu AI4CE 169 5 0 29 Oct 2024
Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representations Kexuan Shi Hai Chen Leheng Zhang Shuhang Gu 203 3 0 17 Oct 2024
Why Do You Grok? A Theoretical Analysis of Grokking Modular Addition Mohamad Amin Mohamadi Zhiyuan Li Lei Wu Danica J. Sutherland 298 16 0 17 Jul 2024
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective Akiyoshi Tomihari Issei Sato 172 9 0 27 May 2024
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models Yubin Shi Yixuan Chen Mingzhi Dong Xiaochen Yang Dongsheng Li ... Yingying Zhao Fan Yang Tun Lu Ning Gu L. Shang MoMe 163 4 0 13 May 2024
lpNTK: Better Generalisation with Less Data via Sample Interaction During LearningInternational Conference on Learning Representations (ICLR), 2024 Shangmin Guo Yi Ren Stefano V.Albrecht Kenny Smith 128 6 0 16 Jan 2024
AdaFlood: Adaptive Flood Regularization Wonho Bae Yi Ren Mohamad Osama Ahmed Frederick Tung Danica J. Sutherland Gabriel L. Oliveira AI4CE 146 3 0 06 Nov 2023
How Graph Neural Networks Learn: Lessons from Training DynamicsInternational Conference on Machine Learning (ICML), 2023 Chenxiao Yang Qitian Wu David Wipf Ruoyu Sun Junchi Yan AI4CE GNN 386 2 0 08 Oct 2023
Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum Amnon Geifman Daniel Barzilai Ronen Basri Meirav Galun 264 10 0 26 Jul 2023
NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating True Coverage Ziting Wen Oscar Pizarro Stefan B. Williams 246 2 0 07 Jun 2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation Yilin Yang Kamil Adamczewski Danica J. Sutherland Xiaoxiao Li Mijung Park 227 14 0 03 Mar 2023