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Methodology
← Core Methods
Machine Learning
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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
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels
NIPS 2023
A Snoring Sound Dataset for Body Position Recognition: Collection, Annotation, and Analysis
INTERSPEECH 2023
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions
NIPS 2023
JAMFN: Joint Attention Multi-Scale Fusion Network for Depression Detection
INTERSPEECH 2023
Pragmatic Pertinence: A Learnable Confidence Metric to Assess the Subjective Quality of LM-Generated Text
INTERSPEECH 2023
Quantifying Character Similarity with Vision Transformers
EMNLP 2023
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization
ICML 2023
A Unifying Formal Approach to Importance Values in Boolean Functions
IJCAI 2023
GeneCIS: A Benchmark for General Conditional Image Similarity
CVPR 2023
Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps
IJCAI 2023
Why do Nearest Neighbor Language Models Work?
ICML 2023
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval
AISTATS 2023
Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search
ICCV 2023
Appearance Prompt Vision Transformer for Connectome Reconstruction
IJCAI 2023
DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-To-Fine Contrastive Ranking
CVPR 2023
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
ICML 2023
A linear time approximation of Wasserstein distance with word embedding selection
EMNLP 2023
Sequential Kernelized Independence Testing
ICML 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings
CVPR 2023
Large-scale similarity search with Optimal Transport
EMNLP 2023
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix
EMNLP 2023
Rethinking Negative Pairs in Code Search
EMNLP 2023
Video-Text Retrieval by Supervised Sparse Multi-Grained Learning
EMNLP 2023
Unified Coarse-to-Fine Alignment for Video-Text Retrieval
ICCV 2023
MEE4 and XLsim : IIIT HYD’s Submissions’ for WMT23 Metrics Shared Task
EMNLP 2023
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