sparse coding

Training-Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Representationarxiv.org

This paper introduces a training-adaptive Convolutional Sparse Coding (CSC) framework where the sparsity coefficient is learned end-to-end via FISTA unfolding. It uses an information bottleneck perspective to balance representation compression and content preservation, showing improved robustness to input perturbations on CIFAR and ImageNet.