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Metric Learning

2,854 papers

Papers per year

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Papers

PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment ICCV 2019
3D Instance Segmentation via Multi-Task Metric Learning ICCV 2019
Deep Meta Metric Learning ICCV 2019
Deep Supervised Hashing With Anchor Graph ICCV 2019
Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning ICCV 2019
Learning Similarity Conditions Without Explicit Supervision ICCV 2019
Learning to Route in Similarity Graphs ICML 2019
Active Embedding Search via Noisy Paired Comparisons ICML 2019
On discriminative learning of prediction uncertainty ICML 2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss ICML 2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment ICML 2019
Kernel Mean Matching for Content Addressability of GANs ICML 2019
Lorentzian Distance Learning for Hyperbolic Representations ICML 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects ICML 2019
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction ICML 2019
Optimality Implies Kernel Sum Classifiers are Statistically Efficient ICML 2019
Subspace Robust Wasserstein Distances ICML 2019
Learning Distance for Sequences by Learning a Ground Metric ICML 2019
Optimal Transport for structured data with application on graphs ICML 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning ICML 2019
Position-aware Graph Neural Networks ICML 2019
CoSegNet: Image Co-segmentation using a Conditional Siamese Convolutional Network IJCAI 2019
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition IJCAI 2019
Supervised Set-to-Set Hashing in Visual Recognition IJCAI 2019
Variation Generalized Feature Learning via Intra-view Variation Adaptation IJCAI 2019