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Neural Supervised Domain Adaptation by Augmenting Pre-trained Models
  with Random Units

Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units

9 June 2021
Sara Meftah
N. Semmar
Y. Tamaazousti
H. Essafi
F. Sadat
ArXivPDFHTML

Papers citing "Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units"

7 / 7 papers shown
Title
Similarity Analysis of Contextual Word Representation Models
Similarity Analysis of Contextual Word Representation Models
John M. Wu
Yonatan Belinkov
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
James R. Glass
51
73
0
03 May 2020
Design Challenges and Misconceptions in Neural Sequence Labeling
Design Challenges and Misconceptions in Neural Sequence Labeling
Jie Yang
Shuailong Liang
Yue Zhang
118
161
0
12 Jun 2018
Revisiting the Importance of Individual Units in CNNs via Ablation
Revisiting the Importance of Individual Units in CNNs via Ablation
Bolei Zhou
Yiyou Sun
David Bau
Antonio Torralba
FAtt
59
116
0
07 Jun 2018
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
174
1,635
0
11 Oct 2017
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment
  Classification
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
Xilun Chen
Yu Sun
Ben Athiwaratkun
Claire Cardie
Kilian Q. Weinberger
224
315
0
06 Jun 2016
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
242
31,257
0
16 Jan 2013
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