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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
Optimal Depth of Neural Networks Qian Qi 15 0 0 20 Jun 2025
The Importance of Being Lazy: Scaling Limits of Continual Learning Jacopo Graldi Alessandro Breccia Giulia Lanzillotta Thomas Hofmann Lorenzo Noci CLL 21 0 0 20 Jun 2025
Optimal Implicit Bias in Linear Regression K. N. Varma Babak Hassibi 23 0 0 20 Jun 2025
Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation Jun Qi Chen-Yu Liu Sabato Marco Siniscalchi Chao-Han Huck Yang Min-hsiu Hsieh 17 0 0 19 Jun 2025
Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning Roger Creus Castanyer J. Obando-Ceron Lu Li Pierre-Luc Bacon Glen Berseth Aaron Courville Pablo Samuel Castro 22 0 0 18 Jun 2025
Optimal Embedding Learning Rate in LLMs: The Effect of Vocabulary Size Soufiane Hayou Liyuan Liu 15 0 0 17 Jun 2025
Understanding Learning Invariance in Deep Linear Networks Hao Duan Guido Montúfar 25 0 0 16 Jun 2025
GrokAlign: Geometric Characterisation and Acceleration of Grokking Thomas Walker Ahmed Imtiaz Humayun Randall Balestriero Richard G. Baraniuk 32 0 0 14 Jun 2025
Spectral Estimation with Free Decompression Siavash Ameli Chris van der Heide Liam Hodgkinson Michael W. Mahoney 29 0 0 13 Jun 2025
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel Yilan Chen Zhichao Wang Wei Huang Andi Han Taiji Suzuki Arya Mazumdar MLT 20 0 0 12 Jun 2025
VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh 102 0 0 12 Jun 2025
Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Qingmao Yao Zhichao Lei Tianyuan Chen Ziyue Yuan Xuefan Chen Jianxiang Liu Faguo Wu Xiao Zhang OffRL 26 1 0 10 Jun 2025
Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs Salah A Faroughi Farinaz Mostajeran 15 0 0 09 Jun 2025
$Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares$ Pointwise confidence estimation in the non-linear $\ell^2$ -regularized least squares Ilja Kuzborskij Yasin Abbasi-Yadkori 45 0 0 08 Jun 2025
Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More Geonhui Yoo Minhak Song Chulhee Yun FAtt 25 0 0 07 Jun 2025
Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks D. Kunin Giovanni Luca Marchetti F. Chen Dhruva Karkada James B. Simon M. DeWeese Surya Ganguli Nina Miolane 28 0 0 06 Jun 2025
A Certified Unlearning Approach without Access to Source Data Umit Yigit Basaran Sk. Miraj Ahmed Amit K. Roy-Chowdhury Başak Güler MU 20 0 0 06 Jun 2025
Optimal Rates in Continual Linear Regression via Increasing Regularization Ran Levinstein Amit Attia Matan Schliserman Uri Sherman Tomer Koren Daniel Soudry Itay Evron CLL 27 0 0 06 Jun 2025
Fast-DataShapley: Neural Modeling for Training Data Valuation Haifeng Sun Yu Xiong Runze Wu Xinyu Cai Changjie Fan Lan Zhang Xiang-Yang Li TDI 118 0 0 05 Jun 2025
Models of Heavy-Tailed Mechanistic Universality Liam Hodgkinson Zhichao Wang Michael W. Mahoney 75 1 0 04 Jun 2025
Implicit Regularization of the Deep Inverse Prior Trained with Inertia Nathan Buskulic Jalal Fadil Yvain Quéau 38 1 0 03 Jun 2025
Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL Renat Sergazinov Jing Wu Shao-An Yin AAML LMTD 59 0 0 03 Jun 2025
Model Reprogramming Demystified: A Neural Tangent Kernel Perspective Ming-Yu Chung Jiashuo Fan Hancheng Ye Qinsi Wang Wei-Chen Shen Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo 32 1 0 31 May 2025
Spectral Insights into Data-Oblivious Critical Layers in Large Language Models Xuyuan Liu Lei Hsiung Yaoqing Yang Yujun Yan AAML 36 0 0 31 May 2025
Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining Weiyi Wang Junwei Deng Yuzheng Hu Shiyuan Zhang Xirui Jiang Runting Zhang Han Zhao Jiaqi W. Ma TDI 15 0 0 30 May 2025
Characterising the Inductive Biases of Neural Networks on Boolean Data Chris Mingard Lukas Seier Niclas Goring Andrei-Vlad Badelita Charles London Ard A. Louis AI4CE 42 0 0 29 May 2025
Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking Yuatyong Chaichana Thanapat Trachu Peerat Limkonchotiwat Konpat Preechakul Tirasan Khandhawit Ekapol Chuangsuwanich MoMe 76 0 0 29 May 2025
Assessing Quantum Advantage for Gaussian Process Regression Dominic Lowe M.S. Kim Roberto Bondesan 22 1 0 28 May 2025
The informativeness of the gradient revisited Rustem Takhanov AAML 45 0 0 28 May 2025
Learning Curves of Stochastic Gradient Descent in Kernel Regression Haihan Zhang Weicheng Lin Yuanshi Liu Cong Fang 31 0 0 28 May 2025
Saddle-To-Saddle Dynamics in Deep ReLU Networks: Low-Rank Bias in the First Saddle Escape Ioannis Bantzis James B. Simon Arthur Jacot ODL 44 0 0 27 May 2025
Leaner Transformers: More Heads, Less Depth Hemanth Saratchandran Damien Teney Simon Lucey 27 0 0 27 May 2025
Universal Value-Function Uncertainties Moritz A. Zanger Max Weltevrede Yaniv Oren Pascal R. van der Vaart Caroline Horsch Wendelin Bohmer M. Spaan OffRL 74 0 0 27 May 2025
Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes I. Harel Yonathan Wolanowsky Gal Vardi Nathan Srebro Daniel Soudry AI4CE 78 0 0 25 May 2025
On the Role of Label Noise in the Feature Learning Process Andi Han Wei Huang Zhanpeng Zhou Gang Niu Wuyang Chen Junchi Yan Akiko Takeda Taiji Suzuki NoLa MLT 145 0 0 25 May 2025
Querying Kernel Methods Suffices for Reconstructing their Training Data Daniel Barzilai Yuval Margalit Eitan Gronich Gilad Yehudai Meirav Galun Ronen Basri 40 0 0 25 May 2025
Joker: Joint Optimization Framework for Lightweight Kernel Machines Junhong Zhang Zhihui Lai 67 0 0 23 May 2025
Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning Yutong Chen Jiandong Gao Ji Wu ALM 211 0 0 23 May 2025
TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation Yuhui Zhang Dongshen Wu Yuichiro Wada Takafumi Kanamori OODD 241 1 0 22 May 2025
Directional Convergence, Benign Overfitting of Gradient Descent in leaky ReLU two-layer Neural Networks Ichiro Hashimoto MLT 79 0 0 22 May 2025
Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks Mouad Elaarabi Domenico Borzacchiello Philippe Le Bot Nathan Lauzeral Sebastien Comas-Cardona PINN AI4CE 63 0 0 20 May 2025
Nonparametric Teaching for Graph Property Learners Chen Zhang Weixin Bu Zhaochun Ren Ziyue Liu Yik-Chung Wu Ngai Wong 145 0 0 20 May 2025
Rethink the Role of Deep Learning towards Large-scale Quantum Systems Yusheng Zhao Chi Zhang Yuxuan Du AI4CE 54 0 0 20 May 2025
Supervised Models Can Generalize Also When Trained on Random Labels Oskar Allerbo Thomas B. Schön OOD SSL 116 0 0 16 May 2025
A Local Polyak-Lojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models Ziqing Xu Hancheng Min Salma Tarmoun Enrique Mallada Rene Vidal 125 0 0 16 May 2025
The Power of Random Features and the Limits of Distribution-Free Gradient Descent Ari Karchmer Eran Malach 89 0 0 15 May 2025
An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models Jialin Mao Itay Griniasty Yan Sun Mark K. Transtrum James P. Sethna Pratik Chaudhari 105 0 0 13 May 2025
A New Perspective To Understanding Multi-resolution Hash Encoding For Neural Fields Steven Tin Sui Luo 64 0 0 05 May 2025
Neural Logistic Bandits Seoungbin Bae Dabeen Lee 527 0 0 04 May 2025
Don't be lazy: CompleteP enables compute-efficient deep transformers Nolan Dey Bin Claire Zhang Lorenzo Noci Mufan Li Blake Bordelon Shane Bergsma Cengiz Pehlevan Boris Hanin Joel Hestness 116 2 0 02 May 2025