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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
Graph Spectral Embedding using the Geodesic Betweenness Centrality
AISTATS 2023
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models
AISTATS 2023
Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs
EMNLP 2023
XL-LEXEME: WiC Pretrained Model for Cross-Lingual LEXical sEMantic changE
ACL 2023
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining
AISTATS 2023
Personalized Dense Retrieval on Global Index for Voice-enabled Conversational Systems
EMNLP 2023
Narrative Cloze as a Training Objective: Towards Modeling Stories Using Narrative Chain Embeddings
ACL 2023
Uncertainty-aware Unsupervised Video Hashing
AISTATS 2023
Are Embedded Potatoes Still Vegetables? On the Limitations of WordNet Embeddings for Lexical Semantics
EMNLP 2023
Self-supervised Post-processing Method to Enrich Pretrained Word Vectors
EMNLP 2023
Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching
CVPR 2023
Fitting low-rank models on egocentrically sampled partial networks
AISTATS 2023
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings
EMNLP 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
ICML 2023
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
ICML 2023
Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings
EMNLP 2023
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation
ICML 2023
Reliable Measures of Spread in High Dimensional Latent Spaces
ICML 2023
The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data
ICML 2023
A Statistical Perspective on Retrieval-Based Models
ICML 2023
Solving Hard Analogy Questions with Relation Embedding Chains
EMNLP 2023
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation
JMLR 2023
LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings with Knowledge Distillation
EACL 2023
SceneTrilogy: On Human Scene-Sketch and Its Complementarity With Photo and Text
CVPR 2023
Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation
CVPR 2023
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