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Methodology
← Core Methods
Machine Learning
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Core Methods
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Metric Learning
2800 directly classified papers
Papers per year
2001: 1
2002: 1
2003: 7
2004: 7
2005: 6
2006: 14
2007: 11
2008: 10
2009: 25
2010: 21
2011: 28
2012: 35
2013: 80
2014: 54
2015: 101
2016: 85
2017: 135
2018: 154
2019: 303
2020: 257
2021: 306
2022: 290
2023: 317
2024: 242
2025: 216
2026: 94
Papers
Automatic Generation of Leveled Visual Assessments for Young Learners
AAAI 2019
Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration
AAAI 2019
Learning Personalized Attribute Preference via Multi-Task AUC Optimization
AAAI 2019
End-to-End Losses Based on Speaker Basis Vectors and All-Speaker Hard Negative Mining for Speaker Verification
INTERSPEECH 2019
Class-Wise Centroid Distance Metric Learning for Acoustic Event Detection
INTERSPEECH 2019
Optimal Transport for structured data with application on graphs
ICML 2019
Lorentzian Distance Learning for Hyperbolic Representations
ICML 2019
Maximum-Margin Hamming Hashing
ICCV 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning
ICCV 2019
Learning With Average Precision: Training Image Retrieval With a Listwise Loss
ICCV 2019
Spectral Feature Transformation for Person Re-Identification
ICCV 2019
Better and Faster: Exponential Loss for Image Patch Matching
ICCV 2019
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space
IJCNLP 2019
Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs
AAAI 2019
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
IJCNLP 2019
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification
AAAI 2019
Learning Local Descriptors With a CDF-Based Dynamic Soft Margin
ICCV 2019
Accelerated Gravitational Point Set Alignment With Altered Physical Laws
ICCV 2019
Towards Latent Attribute Discovery From Triplet Similarities
ICCV 2019
Embedding Complementary Deep Networks for Image Classification
CVPR 2019
Dense Classification and Implanting for Few-Shot Learning
CVPR 2019
Weakly Supervised Deep Image Hashing Through Tag Embeddings
CVPR 2019
Learning to Bootstrap for Entity Set Expansion
EMNLP 2019
Metric Learning for Image Registration
CVPR 2019
Active Embedding Search via Noisy Paired Comparisons
ICML 2019
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