← Architectures
Deep Learning › Architectures ›

Neural Networks

11300 directly classified papers

Papers per year

Papers

Spectral Representations for Convolutional Neural Networks NIPS 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets NIPS 2015
Norm-Based Capacity Control in Neural Networks COLT 2015
Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Traits Recognition CVPR 2015
Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit JMLR 2015
Conditioned Regression Models for Non-Blind Single Image Super-Resolution ICCV 2015
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images ICCV 2015
A la Carte – Learning Fast Kernels AISTATS 2015
SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks ICCV 2015
Deep Networks for Image Super-Resolution With Sparse Prior ICCV 2015
Recurrent Convolutional Neural Networks for Scene Labeling ICML 2014
Learning by Stretching Deep Networks ICML 2014
Learning Character-level Representations for Part-of-Speech Tagging ICML 2014
Provable Bounds for Learning Some Deep Representations ICML 2014
A Clockwork RNN ICML 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NIPS 2014
Towards End-To-End Speech Recognition with Recurrent Neural Networks ICML 2014
Multimodal Learning with Deep Boltzmann Machines JMLR 2014
Attentional Neural Network: Feature Selection Using Cognitive Feedback NIPS 2014
Learning with Pseudo-Ensembles NIPS 2014
Learning Deep Features for Scene Recognition using Places Database NIPS 2014
Deep Networks with Internal Selective Attention through Feedback Connections NIPS 2014
Convex Deep Learning via Normalized Kernels NIPS 2014
Unsupervised Deep Haar Scattering on Graphs NIPS 2014
Deep Convolutional Neural Network for Image Deconvolution NIPS 2014