More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.
Shiwei LiuTianlong ChenXiaohan ChenXuxi ChenQiao XiaoBoqian WuMykola PechenizkiyDecebal Constantin MocanuZhangyang WangPublished in: CoRR (2022)
Keyphrases
- feed forward
- high dimensional
- back propagation
- kernel function
- kernel methods
- support vector
- neural network
- norm regularization
- sparse representation
- group lasso
- convex loss functions
- similarity measure
- multiple kernel learning
- feature space
- linear combination
- artificial neural networks
- expert systems
- training data
- image classification
- nearest neighbor
- recommender systems
- gaussian processes
- instance selection
- kernel learning
- tensor factorization
- kernel svms