Neural Networks

Recursive Context Propagation Network for Semantic Scene Labeling NeurIPS 2014 Scalable Object Detection using Deep Neural Networks CVPR 2014 Searching for Higgs Boson Decay Modes with Deep Learning NeurIPS 2014 Self-Adaptable Templates for Feature Coding NeurIPS 2014 Sequence to Sequence Learning with Neural Networks NeurIPS 2014 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014 Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks NeurIPS 2014 Strokelets: A Learned Multi-Scale Representation for Scene Text Recognition CVPR 2014 Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014 To go deep or wide in learning? AISTATS 2014 Towards End-To-End Speech Recognition with Recurrent Neural Networks ICML 2014 Unsupervised Deep Haar Scattering on Graphs NeurIPS 2014 Unsupervised learning of an efficient short-term memory network NeurIPS 2014 Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings NeurIPS 2014 Adaptive dropout for training deep neural networks NeurIPS 2013 A Deep Architecture for Matching Short Texts NeurIPS 2013 A Machine Learning Approach for Non-blind Image Deconvolution CVPR 2013 A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines ICML 2013 Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013 Capacity of strong attractor patterns to model behavioural and cognitive prototypes NeurIPS 2013 Capturing Global Semantic Relationships for Facial Action Unit Recognition ICCV 2013 Compete to Compute NeurIPS 2013 Convex Two-Layer Modeling NeurIPS 2013 Correlations strike back (again): the case of associative memory retrieval NeurIPS 2013 Deep Canonical Correlation Analysis ICML 2013