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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
CTYUN-AI at SemEval-2025 Task 1: Learning to Rank for Idiomatic Expressions
SEMEVAL 2025
Difficulty Estimation in Natural Language Tasks with Action Scores
NAACL 2025
Hubness Change Point Detection
AAAI 2025
FG^2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
CVPR 2025
ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining
ACL 2025
Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing
CVPR 2025
DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers
CVPR 2025
Biological Sequence Kernels with Guaranteed Flexibility
JMLR 2025
(De)-regularized Maximum Mean Discrepancy Gradient Flow
JMLR 2025
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
AAAI 2025
Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning
AAAI 2025
Meaningful Pose-Based Sign Language Evaluation
EMNLP 2025
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective
EMNLP 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
CVPR 2025
Examining Multilingual Embedding Models Cross-Lingually Through LLM-Generated Adversarial Examples
EMNLP 2025
MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
EMNLP 2025
Modeling Uncertainty in Composed Image Retrieval via Probabilistic Embeddings
ACL 2025
OASIS: Order-Augmented Strategy for Improved Code Search
ACL 2025
Multi-Facet Blending for Faceted Query-by-Example Retrieval
ACL 2025
Droid: A Resource Suite for AI-Generated Code Detection
EMNLP 2025
D.Va: Validate Your Demonstration First Before You Use It
ACL 2025
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
ACL 2025
VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues
ACL 2025
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
ACL 2025
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data
AAAI 2025
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