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Neural Tangent Kernel: Convergence and Generalization in Neural Networks

20 June 2018

Papers citing "Neural Tangent Kernel: Convergence and Generalization in Neural Networks"

50 / 1,193 papers shown

Title
Distal Interference: Exploring the Limits of Model-Based Continual Learning H. V. Deventer Anna Sergeevna Bosman 23 1 0 13 Feb 2024
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning Yuxiao Wen Arthur Jacot 141 7 0 12 Feb 2024
Flexible Infinite-Width Graph Convolutional Neural Networks Ben Anson Edward Milsom Laurence Aitchison SSL GNN 71 1 0 09 Feb 2024
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding Zhengqing Wu Berfin Simsek Francois Ged ODL 127 0 0 08 Feb 2024
Neural Networks Learn Statistics of Increasing Complexity Nora Belrose Quintin Pope Lucia Quirke Alex Troy Mallen Xiaoli Z. Fern 68 11 0 06 Feb 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization Yinbin Han Meisam Razaviyayn Renyuan Xu DiffM 138 16 0 28 Jan 2024
Fast and Exact Enumeration of Deep Networks Partitions Regions Randall Balestriero Yann LeCun 55 5 0 20 Jan 2024
Neglected Hessian component explains mysteries in Sharpness regularization Yann N. Dauphin Atish Agarwala Hossein Mobahi FAtt 116 7 0 19 Jan 2024
The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness Yifan Hao Tong Zhang AAML 144 5 0 19 Jan 2024
Adapting Newton's Method to Neural Networks through a Summary of Higher-Order Derivatives Pierre Wolinski ODL 161 0 0 06 Dec 2023
Thermally Averaged Magnetic Anisotropy Tensors via Machine Learning Based on Gaussian Moments Viktor Zaverkin Julia Netz Fabian Zills Andreas Köhn Johannes Kastner AI4CE 47 18 0 03 Dec 2023
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger Yiming Li Mingyan Zhu Junfeng Guo Tao Wei Shu-Tao Xia Zhan Qin AAML 147 1 0 03 Dec 2023
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction Huan Chen Wangcai Zhao Tingfa Xu Shiyun Zhou Peifu Liu Jianan Li 117 22 0 02 Dec 2023
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers Matthieu Terris Thomas Moreau 80 1 0 30 Nov 2023
Critical Influence of Overparameterization on Sharpness-aware Minimization Sungbin Shin Dongyeop Lee Maksym Andriushchenko Namhoon Lee AAML 160 2 0 29 Nov 2023
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective Ming-Yu Chung Sheng-Yen Chou Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo Tsung-Yi Ho DD 159 7 0 28 Nov 2023
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs James Hazelden Yuhan Helena Liu Eli Shlizerman E. Shea-Brown 82 2 0 17 Nov 2023
Spatial Bayesian Neural Networks A. Zammit‐Mangion Michael D. Kaminski Ba-Hien Tran Maurizio Filippone Noel Cressie BDL 53 9 0 16 Nov 2023
Ensemble sampling for linear bandits: small ensembles suffice David Janz A. Litvak Csaba Szepesvári 145 1 0 14 Nov 2023
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks Jiayuan Ye Zhenyu Zhu Fanghui Liu Reza Shokri Volkan Cevher 87 13 0 31 Oct 2023
Efficient kernel surrogates for neural network-based regression S. Qadeer A. Engel Amanda A. Howard Adam Tsou Max Vargas P. Stinis Tony Chiang 109 5 0 28 Oct 2023
A Spectral Condition for Feature Learning Greg Yang James B. Simon Jeremy Bernstein 115 33 0 26 Oct 2023
Low-Dimensional Gradient Helps Out-of-Distribution Detection Yingwen Wu Tao Li Xinwen Cheng Jie Yang Xiaolin Huang OODD 129 5 0 26 Oct 2023
On the Neural Tangent Kernel of Equilibrium Models Zhili Feng J. Zico Kolter 78 6 0 21 Oct 2023
Scalable Neural Network Kernels Arijit Sehanobish Krzysztof Choromanski Yunfan Zhao Kumar Avinava Dubey Valerii Likhosherstov 97 7 0 20 Oct 2023
A Hyperparameter Study for Quantum Kernel Methods Sebastian Egginger Alona Sakhnenko J. M. Lorenz 93 9 0 18 Oct 2023
Improved Convergence Rate of Nested Simulation with LSE on Sieve Ruoxue Liu Liang Ding Wei Cao Lu Zou 28 0 0 18 Oct 2023
When can transformers reason with abstract symbols? Enric Boix-Adserà Omid Saremi Emmanuel Abbe Samy Bengio Etai Littwin Josh Susskind LRM NAI 66 17 0 15 Oct 2023
The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks S. Bieringer Gregor Kasieczka Maximilian F. Steffen Mathias Trabs 89 1 0 13 Oct 2023
Orthogonal Random Features: Explicit Forms and Sharp Inequalities N. Demni Hachem Kadri 72 1 0 11 Oct 2023
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks Behrad Moniri Donghwan Lee Hamed Hassani Yan Sun MLT 102 23 0 11 Oct 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics Chenxiao Yang Qitian Wu David Wipf Ruoyu Sun Junchi Yan AI4CE GNN 62 1 0 08 Oct 2023
Parameter Efficient Multi-task Model Fusion with Partial Linearization Anke Tang Li Shen Yong Luo Yibing Zhan Han Hu Bo Du Yixin Chen Dacheng Tao MoMe 122 36 0 07 Oct 2023
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities Rahul Parhi Michael Unser 134 5 0 05 Oct 2023
Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics Han Bao SSL MLT 97 1 0 28 Sep 2023
Small-scale proxies for large-scale Transformer training instabilities Mitchell Wortsman Peter J. Liu Lechao Xiao Katie Everett A. Alemi ... Jascha Narain Sohl-Dickstein Kelvin Xu Jaehoon Lee Justin Gilmer Simon Kornblith 111 99 0 25 Sep 2023
Neural Collapse for Unconstrained Feature Model under Cross-entropy Loss with Imbalanced Data Wanli Hong Shuyang Ling 72 18 0 18 Sep 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 87 8 0 13 Sep 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 89 1 0 13 Sep 2023
Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics Yehonatan Avidan Qianyi Li H. Sompolinsky 133 8 0 08 Sep 2023
Les Houches Lectures on Deep Learning at Large & Infinite Width Yasaman Bahri Boris Hanin Antonin Brossollet Vittorio Erba Christian Keup Rosalba Pacelli James B. Simon AI4CE 60 2 0 04 Sep 2023
Robust Point Cloud Processing through Positional Embedding Jianqiao Zheng Xueqian Li Sameera Ramasinghe Simon Lucey 3DPC 93 5 0 01 Sep 2023
Random feature approximation for general spectral methods Mike Nguyen Nicole Mücke 50 1 0 29 Aug 2023
Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences Samuel Chun-Hei Lam Justin A. Sirignano K. Spiliopoulos 70 2 0 28 Aug 2023
Six Lectures on Linearized Neural Networks Theodor Misiakiewicz Andrea Montanari 137 13 0 25 Aug 2023
Graph Neural Bandits Yunzhe Qi Yikun Ban Jingrui He 73 21 0 21 Aug 2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent Xiaoge Deng Li Shen Shengwei Li Tao Sun Dongsheng Li Dacheng Tao 85 3 0 18 Aug 2023
Convergence of Two-Layer Regression with Nonlinear Units Yichuan Deng Zhao Song Shenghao Xie 80 7 0 16 Aug 2023
Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning Yanis Bahroun D. Chklovskii Anirvan M. Sengupta 50 0 0 02 Aug 2023
An Exact Kernel Equivalence for Finite Classification Models Brian Bell Michaela Geyer David Glickenstein Amanda Fernandez Juston Moore 87 3 0 01 Aug 2023