3.7k citations · 11.8k across the 85 of their papers we have counts for
5 papers · 1 filter
Unsupervised Feature Learning by Deep Sparse Coding
Yunlong He, Koray Kavukcuoglu, Yun Wang +2
In this paper, we propose a new unsupervised feature learning framework, namely Deep Sparse Coding (DeepSC), that extends sparse coding to a multi-layer architecture for visual obj…
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam +1
Convolutional Neural Networks are extremely efficient architectures in image and audio recognition tasks, thanks to their ability to exploit the local translational invariance of s…
Signal Recovery from Pooling Representations
Joan Bruna, Arthur Szlam, Yann LeCun
In this work we compute lower Lipschitz bounds of pooling operators for as well as pooling operators preceded by half-rectification layers. These…
Tree structured sparse coding on cubes
Arthur Szlam
A brief description of tree structured sparse coding on the binary cube.
Learning Stable Group Invariant Representations with Convolutional Networks
Joan Bruna, Arthur Szlam, Yann LeCun
Transformation groups, such as translations or rotations, effectively express part of the variability observed in many recognition problems. The group structure enables the constru…