Representation Learning

Learning Time-Varying Coverage Functions NeurIPS 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 Learning to Disentangle Factors of Variation with Manifold Interaction ICML 2014 Learning with Augmented Multi-Instance View ACML 2014 Learning with Fredholm Kernels NeurIPS 2014 Linear and Parallel Learning of Markov Random Fields ICML 2014 Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 Magnitude-sensitive preference formation` NeurIPS 2014 Manifold Based Dynamic Texture Synthesis from Extremely Few Samples CVPR 2014 Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014 Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing JMLR 2014 Metric Learning for Temporal Sequence Alignment NeurIPS 2014 Mirror Symmetry Histograms for Capturing Geometric Properties in Images CVPR 2014 Mixed Graphical Models via Exponential Families AISTATS 2014 Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NeurIPS 2014 Model Transport: Towards Scalable Transfer Learning on Manifolds CVPR 2014 Multi-Cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation CVPR 2014 Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014 Multimodal Learning in Loosely-organized Web Images CVPR 2014 Multiresolution Matrix Factorization ICML 2014 Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 Multi-Scale Spectral Decomposition of Massive Graphs NeurIPS 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations NeurIPS 2014