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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

A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval NIPS 2021
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss AISTATS 2021
Learning Matching Representations for Individualized Organ Transplantation Allocation AISTATS 2021
Learning Relation Alignment for Calibrated Cross-modal Retrieval IJCNLP 2021
Deep Partial Rank Aggregation for Personalized Attributes AAAI 2021
Distributed Representations of Emotion Categories in Emotion Space IJCNLP 2021
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories IJCNLP 2021
Independent Prototype Propagation for Zero-Shot Compositionality NIPS 2021
Federated stochastic gradient Langevin dynamics UAI 2021
Embedding Transfer With Label Relaxation for Improved Metric Learning CVPR 2021
A Partial Label Metric Learning Algorithm for Class Imbalanced Data ACML 2021
Few-Shot Partial-Label Learning IJCAI 2021
Metric Learning for comparison of HMMs using Graph Neural Networks ACML 2021
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples NIPS 2021
Set Augmented Triplet Loss for Video Person Re-Identification WACV 2021
On Episodes, Prototypical Networks, and Few-Shot Learning NIPS 2021
Measuring Similarity of Opinion-bearing Sentences EMNLP 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning EMNLP 2021
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021
How can classical multidimensional scaling go wrong? NIPS 2021
Generalization Guarantee of SGD for Pairwise Learning NIPS 2021
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning NIPS 2021
A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification IJCAI 2021
Representation Learning via Global Temporal Alignment and Cycle-Consistency CVPR 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning CVPR 2021