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Methodology
← Core Methods
Machine Learning
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Core Methods
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Embedding Learning
3751 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 2
2004: 1
2005: 2
2006: 8
2007: 6
2008: 7
2009: 13
2010: 14
2011: 17
2012: 19
2013: 39
2014: 35
2015: 58
2016: 85
2017: 230
2018: 340
2019: 515
2020: 474
2021: 426
2022: 364
2023: 328
2024: 361
2025: 336
2026: 68
Papers
From Few-Shot to Zero-Shot Pallet Load Recognition: A Deployed Embedding-Based Vision System for Industrial Logistics
WACV 2026
OpenCowID: Zero-Shot Visual Identification of Dairy Cows
WACV 2026
OW-Rep: Open World Object Detection with Instance Representation Learning
WACV 2026
DIN: Dual Impulse Network for Multi-view Representation Learning
AAAI 2026
Probabilistic Hash Embeddings for Online Learning of Categorical Features
AAAI 2026
Learning Intrinsic Hierarchy for Generalized Category Discovery
AAAI 2026
No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding
AAAI 2026
Unified Multimodal Interleaved Document Representation for Retrieval
EACL 2026
From Semantics to Style: A Cross-Dataset Comparative Framework for Sentence Similarity Predictions
EACL 2026
PTEB: Towards Robust Text Embedding Evaluation via Stochastic Paraphrasing at Evaluation Time with LLMs
EACL 2026
Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models
EACL 2026
Using Subword-Embeddings for Bilingual Lexicon Induction in Bantu Languages
EACL 2026
Cosine Similarity as Logits?: A Scalable Knowledge Probe Using Embedding Vectors from Generative Language Models
EACL 2026
SmartMatch: Real-Time Semantic Retrieval for Translation Memory Systems
EACL 2026
QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression
AAAI 2026
Improving the Accuracy of Dense Retrieval on the Quantized Indexes via Gradient Optimization of the Target Embeddings
AAAI 2026
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects
AAAI 2026
Order-Preserving Dimension Reduction for Multimodal Semantic Embedding
AAAI 2026
NBF at SemEval-2025 Task 5: Light-Burst Attention Enhanced System for Multilingual Subject Recommendation
ACL 2025
Dense Retrieval with Quantity Comparison Intent
ACL 2025
Federated Multi-view Graph Clustering with Incomplete Attribute Imputation
IJCAI 2025
MIEB: Massive Image Embedding Benchmark
ICCV 2025
Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging
SEMEVAL 2025
LA²I²F at SemEval-2025 Task 5: Reasoning in Embedding Space – Fusing Analogical and Ontology-based Reasoning for Document Subject Tagging
SEMEVAL 2025
Generalized Embedding Models for Industry 4.0 Applications
EMNLP 2025
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