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What the Vec? Towards Probabilistically Grounded Embeddings

What the Vec? Towards Probabilistically Grounded Embeddings

30 May 2018
Carl Allen
Ivana Balazevic
Timothy M. Hospedales
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Papers citing "What the Vec? Towards Probabilistically Grounded Embeddings"

5 / 5 papers shown
Title
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
Kiho Park
Yo Joong Choe
Yibo Jiang
Victor Veitch
50
27
0
03 Jun 2024
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
24
4
0
18 Apr 2022
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
837
0
28 Sep 2019
Context Vectors are Reflections of Word Vectors in Half the Dimensions
Context Vectors are Reflections of Word Vectors in Half the Dimensions
Z. Assylbekov
Rustem Takhanov
11
10
0
26 Feb 2019
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
90
2,981
0
04 Mar 2010
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