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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
Functional Risk Minimization Ferran Alet Clement Gehring Tomás Lozano-Pérez Kenji Kawaguchi Joshua B. Tenenbaum Leslie Pack Kaelbling OffRL 122 0 0 31 Dec 2024
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks Semih Cayci 122 0 0 18 Dec 2024
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 134 2 0 16 Dec 2024
ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning Nilo Schwencke Cyril Furtlehner 167 1 0 14 Dec 2024
Enhancing Implicit Neural Representations via Symmetric Power Transformation Weixiang Zhang Shuzhao Xie Chengwei Ren Shijia Ge Mingzi Wang Zhi Wang 159 2 0 12 Dec 2024
Fast training of large kernel models with delayed projections Amirhesam Abedsoltan Siyuan Ma Parthe Pandit Mikhail Belkin 119 1 0 25 Nov 2024
Infinite Width Limits of Self Supervised Neural Networks Maximilian Fleissner Gautham Govind Anil Debarghya Ghoshdastidar SSL 465 1 0 17 Nov 2024
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits H. Bui Enrique Mallada Anqi Liu 509 1 0 08 Nov 2024
TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection Wei Wu Zhuoshi Pan Chao Wang L. Chen Y. Bai Kun Fu Zehua Wang Hui Xiong Hui Xiong LLMAG 176 7 0 05 Nov 2024
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning Zihao Zhao Yijiang Li Yue Yang Wenqing Zhang Nuno Vasconcelos Yinzhi Cao MU 83 1 0 04 Nov 2024
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation Satoki Ishikawa Rio Yokota Ryo Karakida 129 0 0 04 Nov 2024
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks Jim Zhao Sidak Pal Singh Aurelien Lucchi AI4CE 148 0 0 04 Nov 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 116 3 0 24 Oct 2024
Theoretical Limitations of Ensembles in the Age of Overparameterization Niclas Dern John P. Cunningham Geoff Pleiss BDL UQCV 90 1 0 21 Oct 2024
Robust Feature Learning for Multi-Index Models in High Dimensions Alireza Mousavi-Hosseini Adel Javanmard Murat A. Erdogdu OOD AAML 170 1 0 21 Oct 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations Bryan Chan Anson Leung James Bergstra OffRL OnRL 138 0 0 19 Oct 2024
Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representations Kexuan Shi Hai Chen Leheng Zhang Shuhang Gu 93 1 0 17 Oct 2024
Towards Neural Scaling Laws for Time Series Foundation Models Qingren Yao Chao-Han Huck Yang Renhe Jiang Yuxuan Liang Ming Jin Shirui Pan AI4TS AI4CE 160 9 0 16 Oct 2024
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting Md. Kowsher Md. Shohanur Islam Sobuj Nusrat Jahan Prottasha E. Alejandro Alanis O. Garibay Niloofar Yousefi AI4TS 85 0 0 15 Oct 2024
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture Sajad Movahedi Antonio Orvieto Seyed-Mohsen Moosavi-Dezfooli AI4CE AAML 583 0 0 15 Oct 2024
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates Md. Kowsher Tara Esmaeilbeig Chun-Nam Yu Chen Chen Mojtaba Soltanalian Niloofar Yousefi 71 1 0 14 Oct 2024
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods Hossein Taheri Christos Thrampoulidis Arya Mazumdar MLT 119 0 0 13 Oct 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Binghui Li Yuanzhi Li OOD 94 4 0 11 Oct 2024
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing Sagi Shaier Francisco Pereira Katharina von der Wense Lawrence E Hunter Matt Jones MoE 116 0 0 10 Oct 2024
Nesterov acceleration in benignly non-convex landscapes Kanan Gupta Stephan Wojtowytsch 84 2 0 10 Oct 2024
Extended convexity and smoothness and their applications in deep learning Binchuan Qi Wei Gong Li Li 115 0 0 08 Oct 2024
FLOPS: Forward Learning with OPtimal Sampling Tao Ren Zishi Zhang Jinyang Jiang Guanghao Li Zeliang Zhang Mingqian Feng Yijie Peng 148 1 0 08 Oct 2024
Fast Training of Sinusoidal Neural Fields via Scaling Initialization Taesun Yeom Sangyoon Lee Jaeho Lee 110 3 0 07 Oct 2024
Active Fine-Tuning of Multi-Task Policies Marco Bagatella Jonas Hübotter Georg Martius Andreas Krause 149 0 0 07 Oct 2024
The Optimization Landscape of SGD Across the Feature Learning Strength Alexander B. Atanasov Alexandru Meterez James B. Simon Cengiz Pehlevan 150 6 0 06 Oct 2024
SGD with memory: fundamental properties and stochastic acceleration Dmitry Yarotsky Maksim Velikanov 116 1 0 05 Oct 2024
Fundamental Limitations on Subquadratic Alternatives to Transformers Josh Alman Hantao Yu 119 4 0 05 Oct 2024
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks Ann Huang Satpreet H. Singh Flavio Martinelli Kanaka Rajan 98 0 0 04 Oct 2024
Simplicity bias and optimization threshold in two-layer ReLU networks Etienne Boursier Nicolas Flammarion 93 4 0 03 Oct 2024
Ensembles provably learn equivariance through data augmentation Oskar Nordenfors Axel Flinth MLT 73 4 0 02 Oct 2024
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel Gabriel Thompson Kai Yue Chau-Wai Wong H. Dai FedML 96 0 0 02 Oct 2024
Deep Kernel Posterior Learning under Infinite Variance Prior Weights Jorge Loría A. Bhadra BDL UQCV 129 0 0 02 Oct 2024
Lipschitz-Driven Noise Robustness in VQ-AE for High-Frequency Texture Repair in ID-Specific Talking Heads Jian Yang Xukun Wang Wentao Wang Guoming Li Qihang Fang Ruihong Yuan Tianyang Wang Jason Zhaoxin Fan Yeying Jin Zhaoxin Fan VGen 156 1 0 01 Oct 2024
Peer-to-Peer Learning Dynamics of Wide Neural Networks Shreyas Chaudhari Srinivasa Pranav Emile Anand José M. F. Moura 110 3 0 23 Sep 2024
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks Clémentine Dominé Nicolas Anguita A. Proca Lukas Braun D. Kunin P. Mediano Andrew M. Saxe 138 6 0 22 Sep 2024
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 144 9 0 18 Sep 2024
Learning Transferable Features for Implicit Neural Representations Kushal Vyas Ahmed Imtiaz Humayun Aniket Dashpute Richard G. Baraniuk Ashok Veeraraghavan Guha Balakrishnan OOD 202 4 0 15 Sep 2024
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 114 1 0 10 Sep 2024
Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy Sunshine Jiang William Yue Jaedong Hwang Abhiram Iyer Ila Fiete OOD 136 2 0 09 Sep 2024
On the Pinsker bound of inner product kernel regression in large dimensions Weihao Lu Jialin Ding Haobo Zhang Qian Lin 93 1 0 02 Sep 2024
Continual learning with the neural tangent ensemble Ari S. Benjamin Christian Pehle Kyle Daruwalla UQCV 141 1 0 30 Aug 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning Mohammadamin Banayeeanzade Mahdi Soltanolkotabi Mohammad Rostami CLL LRM 311 4 0 29 Aug 2024
Function-Space MCMC for Bayesian Wide Neural Networks Lucia Pezzetti Stefano Favaro Stefano Peluchetti BDL 455 0 0 26 Aug 2024
Dynamics of Meta-learning Representation in the Teacher-student Scenario Hui Wang Cho Tung Yip Bo Li 124 0 0 22 Aug 2024
Understanding Generative AI Content with Embedding Models Max Vargas Reilly Cannon A. Engel Anand D. Sarwate Tony Chiang 217 3 0 19 Aug 2024