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Model Architecture

4351 directly classified papers

Papers per year

Papers

Deep Submodular Functions: Definitions and Learning NIPS 2016

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions NIPS 2016

Can Active Memory Replace Attention? NIPS 2016

Multimodal Residual Learning for Visual QA NIPS 2016

FPNN: Field Probing Neural Networks for 3D Data NIPS 2016

Group Equivariant Convolutional Networks ICML 2016

CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016

Learning Structured Sparsity in Deep Neural Networks NIPS 2016

Learning the Number of Neurons in Deep Networks NIPS 2016

Actionness Estimation Using Hybrid Fully Convolutional Networks CVPR 2016

Learning Sensor Multiplexing Design through Back-propagation NIPS 2016

Convolutional Neural Fabrics NIPS 2016

Tensor Switching Networks NIPS 2016

Binarized Neural Networks NIPS 2016

Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016

Human Parsing With Contextualized Convolutional Neural Network ICCV 2015

Look and Think Twice: Capturing Top-Down Visual Attention With Feedback Convolutional Neural Networks ICCV 2015

DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets CVPR 2015

Learning both Weights and Connections for Efficient Neural Network NIPS 2015

Deep Learning with Limited Numerical Precision ICML 2015

Matrix Backpropagation for Deep Networks With Structured Layers ICCV 2015

Efficient and Accurate Approximations of Nonlinear Convolutional Networks CVPR 2015

HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition ICCV 2015

Exemplar SVMs as Visual Feature Encoders CVPR 2015

The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification CVPR 2015