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metric learning

1189 papers

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Also known as

FTML UML MLKML ML SPD DML MNR

Co-occurring keywords

representation learning (6174) few-shot learning (3390) image retrieval (599) embedding learning (609) person re-identification (554) convolutional neural network (4216) contrastive learning (3979) triplet loss (192) feature embedding (312) feature learning (1309)

Papers

Angular Margin Centroid Loss for Text-Independent Speaker Recognition INTERSPEECH 2020
Deep Speaker Embedding with Long Short Term Centroid Learning for Text-Independent Speaker Verification INTERSPEECH 2020
Model-Agnostic Metric for Zero-Shot Learning WACV 2020
s-SBIR: Style Augmented Sketch based Image Retrieval WACV 2020
Color Composition Similarity and Its Application in Fine-grained Similarity WACV 2020
Provably Robust Metric Learning NIPS 2020
Generalization Bound of Gradient Descent for Non-Convex Metric Learning NIPS 2020
Universal Weighting Metric Learning for Cross-Modal Matching CVPR 2020
Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification CVPR 2020
Proxy Anchor Loss for Deep Metric Learning CVPR 2020
Batch Decorrelation for Active Metric Learning IJCAI 2020
A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings COLING 2020
Learning to Approximate a Bregman Divergence NIPS 2020
iMetricGAN: Intelligibility Enhancement for Speech-in-Noise Using Generative Adversarial Network-Based Metric Learning INTERSPEECH 2020
Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020
RPD: A Distance Function Between Word Embeddings ACL 2020
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning CVPR 2020
Multi-task Batch Reinforcement Learning with Metric Learning NIPS 2020
In Defence of Metric Learning for Speaker Recognition INTERSPEECH 2020
Learning Similarity Metrics for Numerical Simulations ICML 2020
The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification NIPS 2020
Deep Metric Learning via Adaptive Learnable Assessment CVPR 2020
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers CVPR 2020
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
An end-to-end approach for the verification problem: learning the right distance ICML 2020