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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
Learning a Facial Expression Embedding Disentangled From Identity
CVPR 2021
Similarity measure for sparse time course data based on Gaussian processes
UAI 2021
PatchMatch-Based Neighborhood Consensus for Semantic Correspondence
CVPR 2021
Multi-level Distance Regularization for Deep Metric Learning
AAAI 2021
Detecting Speaker Personas from Conversational Texts
EMNLP 2021
Importance Estimation from Multiple Perspectives for Keyphrase Extraction
EMNLP 2021
A Partial Label Metric Learning Algorithm for Class Imbalanced Data
ACML 2021
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
WACV 2021
BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology
EMNLP 2021
Metric Learning for comparison of HMMs using Graph Neural Networks
ACML 2021
Partial Person Re-Identification With Part-Part Correspondence Learning
CVPR 2021
Learning Similarity between Movie Characters and Its Potential Implications on Understanding Human Experiences
NAACL 2021
Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products
NAACL 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
NIPS 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
NIPS 2021
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
NIPS 2021
Mutual Information Enhanced Training for Speaker Embedding
INTERSPEECH 2021
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
NIPS 2021
MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment
INTERSPEECH 2021
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora
NAACL 2021
Generalization Guarantee of SGD for Pairwise Learning
NIPS 2021
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
NIPS 2021
Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection
CVPR 2021
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
CVPR 2021
VirFace: Enhancing Face Recognition via Unlabeled Shallow Data
CVPR 2021
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