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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
Metaphor Detection via Explicit Basic Meanings Modelling
ACL 2023
CoSiNES: Contrastive Siamese Network for Entity Standardization
ACL 2023
Coarse-to-fine Few-shot Learning for Named Entity Recognition
ACL 2023
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition
EMNLP 2023
Measuring and Controlling Divisiveness in Rank Aggregation
IJCAI 2023
GeneCIS: A Benchmark for General Conditional Image Similarity
CVPR 2023
Content-Based Music-Image Retrieval Using Self- and Cross-Modal Feature Embedding Memory
WACV 2023
Prompt-Based Metric Learning for Few-Shot NER
ACL 2023
Is the ranking of PubMed similar articles good enough? An evaluation of text similarity methods for three datasets
ACL 2023
Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model
EMNLP 2023
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process
EMNLP 2023
What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation
ACL 2023
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning
IJCAI 2023
Quantifying the Variability Collapse of Neural Networks
ICML 2023
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions
ICML 2023
Relation Preserving Triplet Mining for Stabilising the Triplet Loss In re-Identification Systems
WACV 2023
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction
ACL 2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
ICML 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
ICML 2023
Small Transformers Compute Universal Metric Embeddings
JMLR 2023
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
ICML 2023
Personalized Federated Learning with Inferred Collaboration Graphs
ICML 2023
Massively Multilingual Lexical Specialization of Multilingual Transformers
ACL 2023
Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models
ICML 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
ICML 2023
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