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Vocabulary for Universal Approximation: A Linguistic Perspective of
  Mapping Compositions

Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions

20 May 2023
Yongqiang Cai
    CoGe
ArXivPDFHTML

Papers citing "Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions"

3 / 3 papers shown
Title
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models
  Using Discrete Concept
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept
YuXuan Wu
Bonaventure F. P. Dossou
Dianbo Liu
MU
16
0
0
08 Oct 2024
The paradox of the compositionality of natural language: a neural
  machine translation case study
The paradox of the compositionality of natural language: a neural machine translation case study
Verna Dankers
Elia Bruni
Dieuwke Hupkes
CoGe
155
75
0
12 Aug 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
1