Architectures

Learning the Architecture of Sum-Product Networks Using Clustering on Variables NeurIPS 2012 Learning to Align from Scratch NeurIPS 2012 Learning visual motion in recurrent neural networks NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012 Locally Uniform Comparison Image Descriptor NeurIPS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012 Multiresolution Deep Belief Networks AISTATS 2012 Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012 Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012 On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012 On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NeurIPS 2012 Open Problem: Learning Dynamic Network Models from a Static Snapshot COLT 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Spiking and saturating dendrites differentially expand single neuron computation capacity NeurIPS 2012 Topic-Partitioned Multinetwork Embeddings NeurIPS 2012 Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NeurIPS 2012 A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NeurIPS 2011 Active dendrites: adaptation to spike-based communication NeurIPS 2011 Algorithms for Hyper-Parameter Optimization NeurIPS 2011 A Spike and Slab Restricted Boltzmann Machine AISTATS 2011 Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011 Deep Learning for Efficient Discriminative Parsing AISTATS 2011 Deep Sparse Rectifier Neural Networks AISTATS 2011 Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators NeurIPS 2011 Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection NeurIPS 2011