Metric Learning

Minimization of Regression and Ranking Losses with Shallow Neural Networks on Automatic Sincerity Evaluation Interspeech 2016 Mining Discriminative Triplets of Patches for Fine-Grained Classification CVPR 2016 Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016 Nearly Isometric Embedding by Relaxation NeurIPS 2016 On the Power and Limits of Distance-Based Learning ICML 2016 Optimizing affinity-based binary hashing using auxiliary coordinates NeurIPS 2016 Pair-Wise Distance Metric Learning of Neural Network Model for Spoken Language Identification Interspeech 2016 Pairwise Matching Through Max-Weight Bipartite Belief Propagation CVPR 2016 Parallel Dictionary Learning for Voice Conversion Using Discriminative Graph-Embedded Non-Negative Matrix Factorization Interspeech 2016 Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss Function CVPR 2016 Proposal Flow CVPR 2016 Quantization based Fast Inner Product Search AISTATS 2016 Representational Similarity Learning with Application to Brain Networks ICML 2016 Rescoring Hypothesized Detections of Out-of-Vocabulary Keywords Using Subword Samples Interspeech 2016 RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection CVPR 2016 Sample-Specific SVM Learning for Person Re-Identification CVPR 2016 Similarity Learning With Spatial Constraints for Person Re-Identification CVPR 2016 Sliced Wasserstein Kernels for Probability Distributions CVPR 2016 Speaker Linking and Applications Using Non-Parametric Hashing Methods Interspeech 2016 Structured Feature Similarity With Explicit Feature Map CVPR 2016 Supervised Neighborhoods for Distributed Nonparametric Regression AISTATS 2016 Supervised Quantization for Similarity Search CVPR 2016 Supervised Word Mover's Distance NeurIPS 2016 The Multiscale Laplacian Graph Kernel NeurIPS 2016 Universal Correspondence Network NeurIPS 2016