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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
Structuring Representations Using Group Invariants
NIPS 2022
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning
NIPS 2022
Non-separable Spatio-temporal Graph Kernels via SPDEs
AISTATS 2022
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
NIPS 2022
FinSim4-ESG Shared Task: Learning Semantic Similarities for the Financial Domain. Extended edition to ESG insights
EMNLP 2022
Automated Sifting of Stories from Simulated Storyworlds
IJCAI 2022
Deconfounded Representation Similarity for Comparison of Neural Networks
NIPS 2022
Visualizing Paired Image Similarity in Transformer Networks
WACV 2022
Entropy Regularized Optimal Transport Independence Criterion
AISTATS 2022
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion
NIPS 2022
Learning With Label Noise for Image Retrieval by Selecting Interactions
WACV 2022
Template based Graph Neural Network with Optimal Transport Distances
NIPS 2022
Robust Graph Structure Learning via Multiple Statistical Tests
NIPS 2022
Max-Margin Contrastive Learning
AAAI 2022
Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching
AAAI 2022
Multi-view Subspace Clustering on Topological Manifold
NIPS 2022
GULP: a prediction-based metric between representations
NIPS 2022
An Optimal Transport Approach to Deep Metric Learning (Student Abstract)
AAAI 2022
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs
AAAI 2022
Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification
AAAI 2022
Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval
AAAI 2022
Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning
CVPR 2022
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough
AAAI 2022
TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition
AAAI 2022
Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory
AAAI 2022
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