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Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
v1v2v3v4 (latest)

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

23 October 2019
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
    AIMat
ArXiv (abs)PDFHTML

Papers citing "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

5 / 9,855 papers shown
Title
Taming Momentum in a Distributed Asynchronous Environment
Taming Momentum in a Distributed Asynchronous Environment
Ido Hakimi
Saar Barkai
Moshe Gabel
Assaf Schuster
93
23
0
26 Jul 2019
Contextual Word Representations: A Contextual Introduction
Contextual Word Representations: A Contextual Introduction
Noah A. Smith
64
34
0
15 Feb 2019
Are All Layers Created Equal?
Are All Layers Created Equal?
Chiyuan Zhang
Samy Bengio
Y. Singer
111
140
0
06 Feb 2019
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Tian Shi
Yaser Keneshloo
Naren Ramakrishnan
Chandan K. Reddy
127
234
0
05 Dec 2018
Deep Learning for Genomics: A Concise Overview
Deep Learning for Genomics: A Concise Overview
Tianwei Yue
Yuanxin Wang
Longxiang Zhang
Chunming Gu
Haohan Wang
Wenping Wang
Qi Lyu
Yujie Dun
AILawVLMBDL
86
91
0
02 Feb 2018
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