Co-occurring keywords · papers mentioning both
Papers
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
ICML 2024
Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs
WACV 2024
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs
AAAI 2023
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
ICLR 2023
FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes
ICLR 2022
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
ICLR 2022
Spectral Leakage and Rethinking the Kernel Size in CNNs
ICCV 2021