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The Neural Tangent Kernel (NTK) is an important milestone in the ongoing effort to build a theory for deep learning.
Gradient-based learning applied to document recognition
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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One weird trick for parallelizing convolutional neural networks
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ImageNet Large Scale Visual Recognition Challenge
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Deep residual learning for image recognition
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Sergey Zagoruyko and Nikos Komodakis · 2016
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On the global convergence of gradient descent for over-parameterized models using optimal transport
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Neural tangent kernel: Convergence and generalization in neural networks
Arthur Jacot, Franck Gabriel, and Clément Hongler · 2018
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On exact computation with an infinitely wide neural net
Sanjeev Arora, Simon S Du, Wei Hu, Zhiyuan Li, Russ R Salakhutdinov, and Ruosong Wang · 2019
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On lazy training in differentiable programming
Analysis of a two-layer neural network via displacement convexity
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Wide neural networks of any depth evolve as linear models under gradient descent
Jaehoon Lee, Lechao Xiao, Samuel Schoenholz, Yasaman Bahri, Roman Novak, Jascha Sohl-Dickstein, and Jeffrey Pennington · 2019
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Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
Song Mei, Theodor Misiakiewicz, and Andrea Montanari · 2019
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Mean field limit of the learning dynamics of multilayer neural networks
Phan-Minh Nguyen · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Lenaic Chizat, Edouard Oyallon, and Francis Bach · 2019
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Dynamics of deep neural networks and neural tangent hierarchy
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Global convergence of neuron birth-death dynamics
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Greg Yang · 2019
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Neural tangents: Fast and easy infinite neural networks in python
Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, and Samuel S. Schoenholz · 2020
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