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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
GSID: Generative Semantic Indexing for E-Commerce Product Understanding
EMNLP 2025
Rethinking Smoothness for Fast and Adaptable Entity Alignment Decoding
NAACL 2025
Challenging Assumptions in Learning Generic Text Style Embeddings
NAACL 2025
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
EMNLP 2025
Developing Generative Recommender Systems for Government Subsidy Pro-Grams with a New RQ-VAE Model: Wello & the Korean Government Case
AAAI 2025
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering
AAAI 2025
Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval
AAAI 2025
Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
EMNLP 2025
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings
COLING 2025
PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction
EMNLP 2025
On the Correspondence between the Squared Norm and Information Content in Text Embeddings
EMNLP 2025
GEAR: A Simple GENERATE, EMBED, AVERAGE AND RANK Approach for Unsupervised Reverse Dictionary
COLING 2025
SpaGBOL: Spatial-Graph-Based Orientated Localisation
WACV 2025
Mind the Gap: Gender-based Differences in Occupational Embeddings
ACL 2025
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples
NAACL 2025
Multi-view-guided Passage Reranking with Large Language Models
EMNLP 2025
Do We Really Need All Those Dimensions? An Intrinsic Evaluation Framework for Compressed Embeddings
EMNLP 2025
Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks
NAACL 2025
Divide, Link, and Conquer: Recall-oriented Schema Linking for NL-to-SQL via Question Decomposition
EMNLP 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
EMNLP 2025
Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning
IJCAI 2025
Towards Ancient Meroitic Decipherment: A Computational Approach
NAACL 2025
Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing
IJCAI 2025
Learning on Model Weights using Tree Experts
CVPR 2025
Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation
AAAI 2025
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