feature learning

Graying the black box: Understanding DQNs ICML 2016 Greedy Feature Construction NeurIPS 2016 Inferring Phonemic Classes from CNN Activation Maps Using Clustering Techniques Interspeech 2016 InterActive: Inter-Layer Activeness Propagation CVPR 2016 Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning CVPR 2016 K-SRL: Instance-based Learning for Semantic Role Labeling COLING 2016 Language Recognition via Sparse Coding Interspeech 2016 Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks CVPR 2016 Learning Convolutional Neural Networks for Graphs ICML 2016 Learning Deep Features for Discriminative Localization CVPR 2016 Learning Deep Parsimonious Representations NeurIPS 2016 Learning Multiscale Features Directly from Waveforms Interspeech 2016 Learning Robust Features using Deep Learning for Automatic Seizure Detection MLHC 2016 Learning Temporal Regularity in Video Sequences CVPR 2016 Linguistic features for Hindi light verb construction identification COLING 2016 On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition Interspeech 2016 Optimal Sparse Linear Encoders and Sparse PCA NeurIPS 2016 Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss Function CVPR 2016 ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering CVPR 2016 Refining Architectures of Deep Convolutional Neural Networks CVPR 2016 Relevant sparse codes with variational information bottleneck NeurIPS 2016 Seeing Behind the Camera: Identifying the Authorship of a Photograph CVPR 2016 Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video CVPR 2016 Structured Prediction Energy Networks ICML 2016 Tagger: Deep Unsupervised Perceptual Grouping NeurIPS 2016