Representation Learning

Gaussian Conditional Random Field Network for Semantic Segmentation CVPR 2016 Generating Gestural Scores from Acoustics Through a Sparse Anchor-Based Representation of Speech Interspeech 2016 Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data NeurIPS 2016 Geometric Dirichlet Means Algorithm for topic inference NeurIPS 2016 Geospatial Correspondences for Multimodal Registration CVPR 2016 Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation AISTATS 2016 Globally Sparse Probabilistic PCA AISTATS 2016 Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016 Greedy Feature Construction NeurIPS 2016 Hierarchical Classification of Speaker and Background Noise and Estimation of SNR Using Sparse Representation Interspeech 2016 Hierarchical Gaussian Descriptor for Person Re-Identification CVPR 2016 Hierarchical Memory Networks for Answer Selection on Unknown Words COLING 2016 Hierarchical Permutation Complexity for Word Order Evaluation COLING 2016 Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams ICML 2016 Hierarchical Variational Models ICML 2016 High Dimensional Structured Superposition Models NeurIPS 2016 HistoryComparator: Interactive Across-Time Comparison in Document Archives COLING 2016 How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models Interspeech 2016 How to Learn a Graph from Smooth Signals AISTATS 2016 Human Pose Estimation With Iterative Error Feedback CVPR 2016 Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks JMLR 2016 Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization MLHC 2016 Improper Deep Kernels AISTATS 2016 Improved Neural Bag-of-Words Model to Retrieve Out-of-Vocabulary Words in Speech Recognition Interspeech 2016 Improved Word Embeddings with Implicit Structure Information COLING 2016