Metric Learning

LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers CVPR 2018 Large Margin Deep Networks for Classification NeurIPS 2018 Large-Scale Distance Metric Learning With Uncertainty CVPR 2018 Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders NeurIPS 2018 Learning Deep Descriptors With Scale-Aware Triplet Networks CVPR 2018 Learning Deep Disentangled Embeddings With the F-Statistic Loss NeurIPS 2018 Learning Discriminative Features for Speaker Identification and Verification Interspeech 2018 Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots ACL 2018 Learning semantic similarity in a continuous space NeurIPS 2018 Learning Thematic Similarity Metric from Article Sections Using Triplet Networks ACL 2018 Learning to Compare: Relation Network for Few-Shot Learning CVPR 2018 Learning to Detect Features in Texture Images CVPR 2018 Learning to Explain: An Information-Theoretic Perspective on Model Interpretation ICML 2018 Learning to Find Good Correspondences CVPR 2018 Learning Wasserstein Embeddings ICLR 2018 Local Density Estimation in High Dimensions ICML 2018 Local Descriptors Optimized for Average Precision CVPR 2018 Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models CVPR 2018 Low-Shot Learning With Imprinted Weights CVPR 2018 Matching Pixels Using Co-Occurrence Statistics CVPR 2018 Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task EMNLP 2018 MEnet: A Metric Expression Network for Salient Object Segmentation IJCAI 2018 Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators NeurIPS 2018 Metrics for Deep Generative Models AISTATS 2018 Mining on Manifolds: Metric Learning Without Labels CVPR 2018