Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Visual Representation and Classification by Learning Group Sparse Deep Stacking Network
Scalable stacking and learning for building deep architectures
Diversified Visual Attention Networks for Fine-Grained Object Classification
Imagenet classification with deep convolutional neural networks
Fast and accurate image recognition using Deeply-Fused Branchy Networks
Graph Classification via Deep Learning with Virtual Nodes
Beyond Grids: Learning Graph Representations for Visual Recognition
Learning Nested Sparse Structures in Deep Neural Networks
Multistage Object Detection With Group Recursive Learning
Inverting Visual Representations with Convolutional Networks
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Greedy Layer-Wise Training of Deep Networks
Sparse deep belief net model for visual area V2
Minimum trajectory error training for deep neural networks, combined with stacked bottleneck features.
Visualizing Features Learned by Convolutional Neural Networks
sparse feature learning for deep belief networks .
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
DEEP-CARVING: Discovering visual attributes by carving deep neural nets
Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion
Progressive Refinement: A Method of Coarse-to-Fine Image Parsing Using Stacked Network
Integrating Fuzzy Logic and Data Mining: Impact on Cyber Security
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
A Practical Guide to Training Restricted Boltzmann Machines
Mobility Robustness Optimization for Handover Failure Reduction in LTE Small-Cell Networks
Accelerating the Nonuniform Fast Fourier Transform Using FPGAs