Embedding Learning

Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions CVPR 2016 Local Similarity-Aware Deep Feature Embedding NeurIPS 2016 Matching Networks for One Shot Learning NeurIPS 2016 Matrix Completion has No Spurious Local Minimum NeurIPS 2016 Multiresolution Matrix Compression AISTATS 2016 Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information AISTATS 2016 Nonparametric Canonical Correlation Analysis ICML 2016 Novel Front-End Features Based on Neural Graph Embeddings for DNN-HMM and LSTM-CTC Acoustic Modeling Interspeech 2016 Online Collaborative Learning for Open-Vocabulary Visual Classifiers CVPR 2016 Optimal Sparse Linear Encoders and Sparse PCA NeurIPS 2016 Optimizing affinity-based binary hashing using auxiliary coordinates NeurIPS 2016 Phoneme Embedding and its Application to Speech Driven Talking Avatar Synthesis Interspeech 2016 Phonetic Context Embeddings for DNN-HMM Phone Recognition Interspeech 2016 Predicting human similarity judgments with distributional models: The value of word associations. COLING 2016 Preference Completion from Partial Rankings NeurIPS 2016 Proposal Flow CVPR 2016 Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NeurIPS 2016 Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels JMLR 2016 Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning CVPR 2016 Recycling Randomness with Structure for Sublinear time Kernel Expansions ICML 2016 Revisiting Semi-Supervised Learning with Graph Embeddings ICML 2016 Scalable and Sound Low-Rank Tensor Learning AISTATS 2016 Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings COLING 2016 Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces AISTATS 2016 Speakers In The Wild (SITW): The QUT Speaker Recognition System Interspeech 2016