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Data-Efficient Pretraining via Contrastive Self-Supervision

Data-Efficient Pretraining via Contrastive Self-Supervision

2 October 2020
Nils Rethmeier
Isabelle Augenstein
ArXivPDFHTML

Papers citing "Data-Efficient Pretraining via Contrastive Self-Supervision"

11 / 11 papers shown
Title
Fact Checking with Insufficient Evidence
Fact Checking with Insufficient Evidence
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
37
14
0
05 Apr 2022
VLP: A Survey on Vision-Language Pre-training
VLP: A Survey on Vision-Language Pre-training
Feilong Chen
Duzhen Zhang
Minglun Han
Xiuyi Chen
Jing Shi
Shuang Xu
Bo Xu
VLM
82
213
0
18 Feb 2022
Neighborhood Contrastive Learning for Scientific Document
  Representations with Citation Embeddings
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Malte Ostendorff
Nils Rethmeier
Isabelle Augenstein
Bela Gipp
Georg Rehm
19
73
0
14 Feb 2022
When does loss-based prioritization fail?
When does loss-based prioritization fail?
Nie Hu
Xinyu Hu
Rosanne Liu
Sara Hooker
J. Yosinski
255
8
0
16 Jul 2021
Cross-Domain Label-Adaptive Stance Detection
Cross-Domain Label-Adaptive Stance Detection
Momchil Hardalov
Arnav Arora
Preslav Nakov
Isabelle Augenstein
25
72
0
15 Apr 2021
A Primer on Contrastive Pretraining in Language Processing: Methods,
  Lessons Learned and Perspectives
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
Nils Rethmeier
Isabelle Augenstein
SSL
VLM
90
90
0
25 Feb 2021
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
238
207
0
17 Feb 2021
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Zeerak Talat
Smarika Lulz
Joachim Bingel
Isabelle Augenstein
96
51
0
28 Jan 2021
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
220
188
0
03 May 2020
A Survey on Contextual Embeddings
A Survey on Contextual Embeddings
Qi Liu
Matt J. Kusner
Phil Blunsom
225
146
0
16 Mar 2020
Diversity and Inclusion Metrics in Subset Selection
Diversity and Inclusion Metrics in Subset Selection
Margaret Mitchell
Dylan K. Baker
Nyalleng Moorosi
Emily L. Denton
Ben Hutchinson
A. Hanna
Timnit Gebru
Jamie Morgenstern
FaML
150
85
0
09 Feb 2020
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