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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
Re-assign community
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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
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
Jie Yang
Shuailong Liang
Yue Zhang
118
161
0
12 Jun 2018
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
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
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
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
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
242
31,257
0
16 Jan 2013
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