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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
NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval
CVPR 2025
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
NAACL 2025
Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method
AAAI 2025
Residualized Similarity for Faithfully Explainable Authorship Verification
EMNLP 2025
DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers
CVPR 2025
Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples
IJCAI 2025
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems
ACL 2025
FG^2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
CVPR 2025
Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences
AAAI 2025
GT-Loc: Unifying When and Where in Images Through a Joint Embedding Space
ICCV 2025
All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning
EMNLP 2025
Synchronization of Multiple Videos
ICCV 2025
Rank-Awareness and Angular Constraints: A New Perspective on Learning Sentence Embeddings from NLI Data
EMNLP 2025
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
ACL 2025
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data
EMNLP 2025
Meaningful Pose-Based Sign Language Evaluation
EMNLP 2025
Text Anomaly Detection with Simplified Isolation Kernel
EMNLP 2025
Towards Database-Free Text-to-SQL Evaluation: A Graph-Based Metric for Functional Correctness
COLING 2025
Exploring More from Multiple Gait Modalities for Human Identification
AAAI 2025
PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models
EMNLP 2025
MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
EMNLP 2025
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval
EMNLP 2025
Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters
JMLR 2025
VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues
ACL 2025
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
EMNLP 2025
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