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Metric Learning

2800 directly classified papers

Papers per year

Papers

To Trust Or Not To Trust A Classifier NIPS 2018
UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row COLING 2018
BourGAN: Generative Networks with Metric Embeddings NIPS 2018
Learning Deep Disentangled Embeddings With the F-Statistic Loss NIPS 2018
Binarized Mode Seeking for Scalable Visual Pattern Discovery CVPR 2017
Discretely Coding Semantic Rank Orders for Supervised Image Hashing CVPR 2017
GMS: Grid-based Motion Statistics for Fast, Ultra-Robust Feature Correspondence CVPR 2017
AMC: Attention guided Multi-modal Correlation Learning for Image Search CVPR 2017
Hierarchical Multimodal Metric Learning for Multimodal Classification CVPR 2017
Unified Embedding and Metric Learning for Zero-Exemplar Event Detection CVPR 2017
Attachment Centrality for Weighted Graphs IJCAI 2017
Exemplar-centered Supervised Shallow Parametric Data Embedding IJCAI 2017
L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space CVPR 2017
Constructing Acoustic Distances Between Subwords and States Obtained from a Deep Neural Network for Spoken Term Detection INTERSPEECH 2017
Learning Low-Dimensional Metrics NIPS 2017
Concatenative Resynthesis Using Twin Networks INTERSPEECH 2017
Spoken Language Identification Using LSTM-Based Angular Proximity INTERSPEECH 2017
Personalized Quantification of Voice Attractiveness in Multidimensional Merit Space INTERSPEECH 2017
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NIPS 2017
Practical Data-Dependent Metric Compression with Provable Guarantees NIPS 2017
Working hard to know your neighbor's margins: Local descriptor learning loss NIPS 2017
Improved Graph Laplacian via Geometric Self-Consistency NIPS 2017
A Greedy Approach for Budgeted Maximum Inner Product Search NIPS 2017
Deep Supervised Discrete Hashing NIPS 2017
Prototypical Networks for Few-shot Learning NIPS 2017