← Core Methods
Machine Learning › Core Methods ›

Metric Learning

2800 directly classified papers

Papers per year

Papers

A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling AAAI 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NIPS 2024
Optimizing Automatic Speech Assessment: W-RankSim Regularization and Hybrid Feature Fusion Strategies INTERSPEECH 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning NIPS 2024
Neural Embeddings for kNN Search in Biological Sequence AAAI 2024
On the impact of several regularization techniques on label noise robustness of self-supervised speaker verification systems INTERSPEECH 2024
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation NIPS 2024
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval INTERSPEECH 2024
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets NIPS 2024
Cross-Covariate Gait Recognition: A Benchmark AAAI 2024
ResMatch: Residual Attention Learning for Feature Matching AAAI 2024
FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval AAAI 2024
Guiding GBFS through Learned Pairwise Rankings IJCAI 2024
Robust Contrastive Multi-view Kernel Clustering IJCAI 2024
Aligning Geometric Spatial Layout in Cross-View Geo-Localization via Feature Recombination AAAI 2024
Learning Label-Specific Multiple Local Metrics for Multi-Label Classification IJCAI 2024
Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features IJCAI 2024
Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification AAAI 2024
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning AAAI 2024
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning AAAI 2024
Learning Spatial Similarity Distribution for Few-shot Object Counting IJCAI 2024
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation IJCAI 2024
ArcGeo: Localizing Limited Field-of-View Images Using Cross-View Matching WACV 2024
Understanding Hyperbolic Metric Learning Through Hard Negative Sampling WACV 2024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024