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Model Architecture

4,354 papers

Papers per year

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Papers

Can Active Memory Replace Attention? NIPS 2016
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree AISTATS 2016
Attention-Based Convolutional Neural Network for Semantic Relation Extraction COLING 2016
Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling COLING 2016
Neural Module Networks CVPR 2016
Learning Relaxed Deep Supervision for Better Edge Detection CVPR 2016
TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks CVPR 2016
Efficient Training of Very Deep Neural Networks for Supervised Hashing CVPR 2016
Refining Architectures of Deep Convolutional Neural Networks CVPR 2016
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters CVPR 2016
Actionness Estimation Using Hybrid Fully Convolutional Networks CVPR 2016
Gradual DropIn of Layers to Train Very Deep Neural Networks CVPR 2016
Deep SimNets CVPR 2016
Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016
Sparsifying Neural Network Connections for Face Recognition CVPR 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data CVPR 2016
Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation CVPR 2016
Multi-Bias Non-linear Activation in Deep Neural Networks ICML 2016
Convolutional Rectifier Networks as Generalized Tensor Decompositions 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
Discrete Deep Feature Extraction: A Theory and New Architectures ICML 2016
Training Deep Neural Networks via Direct Loss Minimization ICML 2016
Dynamic Capacity Networks ICML 2016