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Model Architecture

4351 directly classified papers

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Papers

Deep Convolutional Neural Networks with Layer-Wise Context Expansion and Attention INTERSPEECH 2016

Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks INTERSPEECH 2016

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions NIPS 2016

Can Active Memory Replace Attention? NIPS 2016

Deep Submodular Functions: Definitions and Learning NIPS 2016

Learning Structured Sparsity in Deep Neural Networks NIPS 2016

Binarized Neural Networks NIPS 2016

Tensor Switching Networks NIPS 2016

Actionness Estimation Using Hybrid Fully Convolutional Networks CVPR 2016

Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016

Sparsifying Neural Network Connections for Face Recognition CVPR 2016

Learning Sensor Multiplexing Design through Back-propagation NIPS 2016

Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation CVPR 2016

Dynamic Capacity Networks ICML 2016

Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling COLING 2016

Refining Architectures of Deep Convolutional Neural Networks CVPR 2016

A Novel Discriminative Score Calibration Method for Keyword Search INTERSPEECH 2016

Deep SimNets CVPR 2016

Multi-Bias Non-linear Activation in Deep Neural Networks ICML 2016

Unitary Evolution Recurrent Neural Networks ICML 2016

Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks ICML 2016

Exploiting Cyclic Symmetry in Convolutional Neural Networks ICML 2016

Volumetric and Multi-View CNNs for Object Classification on 3D Data CVPR 2016

Group Equivariant Convolutional Networks ICML 2016

Training Neural Networks Without Gradients: A Scalable ADMM Approach ICML 2016