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Data Scaling Laws in NMT: The Effect of Noise and Architecture

Data Scaling Laws in NMT: The Effect of Noise and Architecture

4 February 2022
Yamini Bansal
Behrooz Ghorbani
Ankush Garg
Biao Zhang
M. Krikun
Colin Cherry
Behnam Neyshabur
Orhan Firat
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Papers citing "Data Scaling Laws in NMT: The Effect of Noise and Architecture"

10 / 10 papers shown
Title
DeepGate3: Towards Scalable Circuit Representation Learning
DeepGate3: Towards Scalable Circuit Representation Learning
Zhengyuan Shi
Ziyang Zheng
Sadaf Khan
Qiang Xu
Min Li
Qiang Xu
GNN
AI4CE
44
9
0
15 Jul 2024
Scaling Laws for Multilingual Neural Machine Translation
Scaling Laws for Multilingual Neural Machine Translation
Patrick Fernandes
Behrooz Ghorbani
Xavier Garcia
Markus Freitag
Orhan Firat
38
29
0
19 Feb 2023
The unreasonable effectiveness of few-shot learning for machine
  translation
The unreasonable effectiveness of few-shot learning for machine translation
Xavier Garcia
Yamini Bansal
Colin Cherry
George F. Foster
M. Krikun
Fan Feng
Melvin Johnson
Orhan Firat
38
102
0
02 Feb 2023
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic
  Languages
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages
A. Mhaske
Harsh Kedia
Sumanth Doddapaneni
Mitesh M. Khapra
Pratyush Kumar
V. Rudramurthy
Anoop Kunchukuttan
54
26
0
20 Dec 2022
Striving for data-model efficiency: Identifying data externalities on
  group performance
Striving for data-model efficiency: Identifying data externalities on group performance
Esther Rolf
Ben Packer
Alex Beutel
Fernando Diaz
TDI
30
2
0
11 Nov 2022
Broken Neural Scaling Laws
Broken Neural Scaling Laws
Ethan Caballero
Kshitij Gupta
Irina Rish
David M. Krueger
30
74
0
26 Oct 2022
Revisiting Neural Scaling Laws in Language and Vision
Revisiting Neural Scaling Laws in Language and Vision
Ibrahim M. Alabdulmohsin
Behnam Neyshabur
Xiaohua Zhai
159
102
0
13 Sep 2022
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully
  Connected Neural Networks
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks
Charles Edison Tripp
J. Perr-Sauer
L. Hayne
M. Lunacek
Jamil Gafur
AI4CE
23
0
0
25 Jul 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance
  from Small Scale Experiments
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments
Maor Ivgi
Y. Carmon
Jonathan Berant
19
17
0
13 Feb 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,489
0
23 Jan 2020
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