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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
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
CVPR 2018
Scoring Lexical Entailment with a Supervised Directional Similarity Network
ACL 2018
A Comparison of Entity Matching Methods between English and Japanese Katakana
EMNLP 2018
Retrieval of the Best Counterargument without Prior Topic Knowledge
ACL 2018
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference
IJCAI 2018
Comparison-Based Random Forests
ICML 2018
Local Density Estimation in High Dimensions
ICML 2018
End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching
CVPR 2018
Deep Discriminative Embeddings for Duration Robust Speaker Verification
INTERSPEECH 2018
Empirical Analysis of Score Fusion Application to Combined Neural Networks for Open Vocabulary Spoken Term Detection
INTERSPEECH 2018
Training Utterance-level Embedding Networks for Speaker Identification and Verification
INTERSPEECH 2018
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
EMNLP 2018
Ring Loss: Convex Feature Normalization for Face Recognition
CVPR 2018
Hashing as Tie-Aware Learning to Rank
CVPR 2018
Learning to Compare: Relation Network for Few-Shot Learning
CVPR 2018
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning
IJCAI 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
ICML 2018
Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding
IJCAI 2018
Diverse Few-Shot Text Classification with Multiple Metrics
NAACL 2018
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation
CVPR 2018
Multi-view Metric Learning in Vector-valued Kernel Spaces
AISTATS 2018
Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction
CVPR 2018
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis
ICML 2018
Large-Scale Distance Metric Learning With Uncertainty
CVPR 2018
High-dimensional Similarity Learning via Dual-sparse Random Projection
IJCAI 2018
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