Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: inference , learning and attention mechanisms that exploit and preserve sparsity in convolutional networks .
Sparsity Invariant CNNs
Fast Convolutional Sparse Coding
Attention-Based Guided Structured Sparsity of Deep Neural Networks
Efficient Algorithms for Convolutional Sparse Representations
What Do We Understand About Convolutional Networks?
Scale-invariant learning and convolutional networks
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Learning Structured Sparsity in Deep Neural Networks
SC-Conv: Sparse-Complementary Convolution for Efficient Model Utilization on CNNs
Combined Group and Exclusive Sparsity for Deep Neural Networks
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization
towards compact convnets via structure - sparsity regularized filter pruning .
A Winner-Take-All Method for Training Sparse Convolutional Autoencoders
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning
SUBMANIFOLD SPARSE CONVOLUTIONAL NETWORKS
SBNet: Sparse Blocks Network for Fast Inference
Graph Convolutional Neural Networks via Motif-based Attention
Segmentation-Aware Convolutional Networks Using Local Attention Masks
A Regularized Framework for Sparse and Structured Neural Attention
Fast Algorithms for Convolutional Neural Networks
Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment
Face lift.
PTEN hamartoma tumor syndromes
Characterization of a Novel Nine-Transistor SRAM Cell
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks