Co-occurring keywords · papers mentioning both
Papers
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks
NeurIPS 2022
Are wider nets better given the same number of parameters?
ICLR 2021
A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs
NeurIPS 2021
Correlated weights in infinite limits of deep convolutional neural networks
UAI 2021
Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit
ICLR 2021
Phase Diagram for Two-layer ReLU Neural Networks at Infinite-width Limit
JMLR 2021
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
ICML 2021
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization
NeurIPS 2021
Towards a General Theory of Infinite-Width Limits of Neural Classifiers
ICML 2020
On Exact Computation with an Infinitely Wide Neural Net
NeurIPS 2019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
NeurIPS 2019
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
NeurIPS 2018