More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.
Shiwei LiuTianlong ChenXiaohan ChenXuxi ChenQiao XiaoBoqian WuTommi KärkkäinenMykola PechenizkiyDecebal Constantin MocanuZhangyang WangPublished in: ICLR (2023)
Keyphrases
- feed forward
- kernel function
- neural network
- back propagation
- support vector
- sparse representation
- artificial neural networks
- norm regularization
- kernel methods
- convex loss functions
- multiple kernel learning
- high dimensional
- feature space
- data sets
- loss function
- decision making
- image classification
- artificial intelligence
- multiresolution
- kernel learning
- multiple kernel
- group lasso