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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
RankMI: A Mutual Information Maximizing Ranking Loss
CVPR 2020
Compositional Phrase Alignment and Beyond
EMNLP 2020
Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank
EMNLP 2020
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network
AAAI 2020
Learning an Unreferenced Metric for Online Dialogue Evaluation
ACL 2020
Person Tube Retrieval via Language Description
AAAI 2020
Symmetric Metric Learning with Adaptive Margin for Recommendation
AAAI 2020
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
NIPS 2020
Automated Assessment of Noisy Crowdsourced Free-text Answers for Hindi in Low Resource Setting
EMNLP 2020
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems
EMNLP 2020
Context-Aware Attention Network for Image-Text Retrieval
CVPR 2020
Random Projections and α-Shape to Support the Kernel Design (Student Abstract)
AAAI 2020
Moving in the Right Direction: A Regularization for Deep Metric Learning
CVPR 2020
Cross-Batch Memory for Embedding Learning
CVPR 2020
Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection
CVPR 2020
Proximity Preserving Binary Code Using Signed Graph-Cut
AAAI 2020
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification
AAAI 2020
Zero-Assignment Constraint for Graph Matching With Outliers
CVPR 2020
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval
CVPR 2020
Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes
AAAI 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning
CVPR 2020
Variational Adversarial Kernel Learned Imitation Learning
AAAI 2020
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
CVPR 2020
Structured Multi-Hashing for Model Compression
CVPR 2020
Large Scale Video Representation Learning via Relational Graph Clustering
CVPR 2020
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