neural network

Sequence to Sequence Learning with Neural Networks NeurIPS 2014 Stochastic Gradient Hamiltonian Monte Carlo ICML 2014 To go deep or wide in learning? AISTATS 2014 Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising NeurIPS 2013 A Deep Architecture for Matching Short Texts NeurIPS 2013 A Machine Learning Approach for Non-blind Image Deconvolution CVPR 2013 Capacity of strong attractor patterns to model behavioural and cognitive prototypes NeurIPS 2013 Compete to Compute NeurIPS 2013 Correlations strike back (again): the case of associative memory retrieval NeurIPS 2013 Deep learning with COTS HPC systems ICML 2013 Deep Neural Networks for Object Detection NeurIPS 2013 Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model ICML 2013 Fast dropout training ICML 2013 Firing rate predictions in optimal balanced networks NeurIPS 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Learning to Pass Expectation Propagation Messages NeurIPS 2013 Maxout Networks ICML 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Noise-Enhanced Associative Memories NeurIPS 2013 On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013 Predicting Parameters in Deep Learning NeurIPS 2013 Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition ICCV 2013 Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively NeurIPS 2013 Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NeurIPS 2013 Regularization of Neural Networks using DropConnect ICML 2013