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Introduction to Neural Transfer Learning with Transformers for Social
  Science Text Analysis

Introduction to Neural Transfer Learning with Transformers for Social Science Text Analysis

3 February 2021
Sandra Wankmuller
ArXivPDFHTML

Papers citing "Introduction to Neural Transfer Learning with Transformers for Social Science Text Analysis"

12 / 12 papers shown
Title
Learning Bill Similarity with Annotated and Augmented Corpora of Bills
Learning Bill Similarity with Annotated and Augmented Corpora of Bills
Jiseon Kim
Elden Griggs
In Song Kim
Alice H. Oh
AILaw
15
6
0
14 Sep 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
How Good is Your Tokenizer? On the Monolingual Performance of
  Multilingual Language Models
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
Phillip Rust
Jonas Pfeiffer
Ivan Vulić
Sebastian Ruder
Iryna Gurevych
69
235
0
31 Dec 2020
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
249
1,982
0
28 Jul 2020
What the [MASK]? Making Sense of Language-Specific BERT Models
What the [MASK]? Making Sense of Language-Specific BERT Models
Debora Nozza
Federico Bianchi
Dirk Hovy
82
105
0
05 Mar 2020
PhoBERT: Pre-trained language models for Vietnamese
PhoBERT: Pre-trained language models for Vietnamese
Dat Quoc Nguyen
A. Nguyen
157
342
0
02 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,724
0
26 Sep 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 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
228
29,632
0
16 Jan 2013
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
77
2,974
0
04 Mar 2010
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