Deep Learning

Learning visual motion in recurrent neural networks NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012 Locally Uniform Comparison Image Descriptor NeurIPS 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012 Matrix reconstruction with the local max norm NeurIPS 2012 Max-Margin Structured Output Regression for Spatio-Temporal Action Localization NeurIPS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012 Multimodal Learning with Deep Boltzmann Machines NeurIPS 2012 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NeurIPS 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Multiple Texture Boltzmann Machines AISTATS 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 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012 Online L1-Dictionary Learning with Application to Novel Document Detection NeurIPS 2012 On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012 On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models 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 Parametric Local Metric Learning for Nearest Neighbor Classification NeurIPS 2012 Part & Clamp: Efficient Structured Output Learning AISTATS 2012 Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task NeurIPS 2012