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Metric Learning
172 directly classified papers
Papers per year
2006: 1
2007: 2
2009: 4
2010: 1
2011: 1
2012: 1
2013: 3
2014: 3
2015: 8
2016: 5
2017: 6
2018: 11
2019: 25
2020: 18
2021: 14
2022: 20
2023: 22
2024: 11
2025: 14
2026: 2
Papers
Modality-Aware Bias Mitigation and Invariance Learning for Unsupervised Visible-Infrared Person Re-Identification
AAAI 2026
Deepfake Detection that Generalizes Across Benchmarks
WACV 2026
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization
AAAI 2025
Solving Instance Detection from an Open-World Perspective
CVPR 2025
Re3Syn: A Dependency-Based Data Synthesis Framework for Long-Context Post-training
ACL 2025
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
CVPR 2025
Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition
AAAI 2025
Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings
ACL 2025
Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling
AAAI 2025
TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification
ACL 2025
Modeling Uncertainty in Composed Image Retrieval via Probabilistic Embeddings
ACL 2025
Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation
CVPR 2025
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
CVPR 2025
Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
WACV 2025
TicTac: Time-aware Supervised Fine-tuning for Automatic Text Dating
ACL 2025
G2SF: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection
ICCV 2025
Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification
CVPR 2024
Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation
AAAI 2024
EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
CVPR 2024
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
AAAI 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
NIPS 2024
Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor
CVPR 2024
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
EMNLP 2024
SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation
ACL 2024
Beyond Average: Individualized Visual Scanpath Prediction
CVPR 2024
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