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← 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
Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval
AAAI 2026
Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval
AAAI 2026
Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval
AAAI 2026
Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces
AAAI 2026
Enhancing Binary Encoded Crime Linkage Analysis Using Siamese Network
AAAI 2026
New Metrics for Disambiguating Feature Overlap and Catastrophic Forgetting in Incremental Learning Contexts (Student Abstract)
AAAI 2026
Learning with Structure: Computing Consistent Subsets on Structurally-Regular Graphs
AAAI 2026
Region-Point Joint Representation for Effective Trajectory Similarity Learning
AAAI 2026
The Avengers: A Routing Recipe for Collective Intelligence in Language Models
AAAI 2026
Who Is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
AAAI 2026
Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels
AAAI 2026
IQGS: Instance Query-based Gaussian Segmentation
AAAI 2026
Matching Semantically Similar Non-Identical Objects
WACV 2026
NeuroBridge: Few-Shot Cross-Modal Neuron Re-identification via Dual-Channel Deep Metric Learning
WACV 2026
A Dataset and Framework for Learning State-invariant Object Representations
WACV 2026
MBTI: Metric-Based Textual Inversion for Fine-Grained Image Generation
WACV 2026
Improving Animal Pose Estimation through Species Similarity Measures and Rigorous Label Definition
WACV 2026
DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation
WACV 2026
Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection
WACV 2026
FCC: Fully Connected Correlation for One-Shot Segmentation
WACV 2026
MixER: From Cross-Modal to Mixed-Modal Visible-Infrared Re-Identification
WACV 2026
Intraoperative 2D/3D Registration via Spherical Similarity Learning and Differentiable Levenberg-Marquardt Optimization
WACV 2026
Cosine Similarity is Almost All You Need (for Prototypical-Part Models)
WACV 2026
MARS: a Multimodal Alignment and Ranking System for Few-Shot Segmentation
WACV 2026
Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation
AAAI 2026
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