Co-occurring keywords · papers mentioning both
Papers
Bayesian Deep Ensembles via the Neural Tangent Kernel
NeurIPS 2020
Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks
ICLR 2020
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
NeurIPS 2020
Collegial Ensembles
NeurIPS 2020
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
NeurIPS 2020
Disentangling Trainability and Generalization in Deep Neural Networks
ICML 2020
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
ICML 2020
Finding trainable sparse networks through Neural Tangent Transfer
ICML 2020
Finite Depth and Width Corrections to the Neural Tangent Kernel
ICLR 2020
Finite Versus Infinite Neural Networks: an Empirical Study
NeurIPS 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
NeurIPS 2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density
ICML 2020
Generalized Leverage Score Sampling for Neural Networks
NeurIPS 2020
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
ICLR 2020
Infinite attention: NNGP and NTK for deep attention networks
ICML 2020
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
NeurIPS 2020
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
NeurIPS 2020
Learning Over-Parametrized Two-Layer Neural Networks beyond NTK
COLT 2020
Neural Kernels Without Tangents
ICML 2020
Neural tangent kernels, transportation mappings, and universal approximation
ICLR 2020
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
ICLR 2020
On Infinite-Width Hypernetworks
NeurIPS 2020
On the linearity of large non-linear models: when and why the tangent kernel is constant
NeurIPS 2020
On the Similarity between the Laplace and Neural Tangent Kernels
NeurIPS 2020
Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee
ICLR 2020