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Methodology
← Core Methods
Machine Learning
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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
Optimization Can Learn Johnson Lindenstrauss Embeddings
NIPS 2024
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning
ACL 2024
Adjusting Interpretable Dimensions in Embedding Space with Human Judgments
NAACL 2024
Improving Text Embeddings with Large Language Models
ACL 2024
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
AAAI 2024
Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated Text
SEMEVAL 2024
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization
NIPS 2024
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
AAAI 2024
Subspace Representations for Soft Set Operations and Sentence Similarities
NAACL 2024
Deriving Entity-Specific Embeddings from Multi-Entity Sequences
COLING 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
NIPS 2024
Set-based Neural Network Encoding Without Weight Tying
NIPS 2024
Multi-Operational Mathematical Derivations in Latent Space
NAACL 2024
Word-level prediction in Plains Cree: First steps
NAACL 2024
Urban Region Embedding via Multi-View Contrastive Prediction
AAAI 2024
MBZUAI-UNAM at SemEval-2024 Task 1: Sentence-CROBI, a Simple Cross-Bi-Encoder-Based Neural Network Architecture for Semantic Textual Relatedness
NAACL 2024
Story Embeddings — Narrative-Focused Representations of Fictional Stories
EMNLP 2024
Harnessing Personalization Methods to Identify and Predict Unreliable Information Spreader Behavior
NAACL 2024
OdiaGenAI’s Participation in WMT2024 English-to-Low Resource Multimodal Translation Task
EMNLP 2024
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
NIPS 2024
Multimodal Chart Retrieval: A Comparison of Text, Table and Image Based Approaches
NAACL 2024
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes
NAACL 2024
MILD Bot: Multidisciplinary Childhood Cancer Survivor Question-Answering Bot
EMNLP 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
NIPS 2024
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities
EMNLP 2024
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