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Active Learning Over Multiple Domains in Natural Language Tasks

Active Learning Over Multiple Domains in Natural Language Tasks

1 February 2022
Shayne Longpre
Julia Reisler
E. G. Huang
Yi Lu
Andrew J. Frank
Nikhil Ramesh
Chris DuBois
    OOD
ArXivPDFHTML

Papers citing "Active Learning Over Multiple Domains in Natural Language Tasks"

11 / 11 papers shown
Title
Aya Model: An Instruction Finetuned Open-Access Multilingual Language
  Model
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
A. Ustun
Viraat Aryabumi
Zheng-Xin Yong
Wei-Yin Ko
Daniel D'souza
...
Shayne Longpre
Niklas Muennighoff
Marzieh Fadaee
Julia Kreutzer
Sara Hooker
ALM
ELM
SyDa
LRM
35
194
0
12 Feb 2024
DeMuX: Data-efficient Multilingual Learning
DeMuX: Data-efficient Multilingual Learning
Simran Khanuja
Srinivas Gowriraj
Lucio Dery
Graham Neubig
VLM
26
1
0
10 Nov 2023
Active Learning Principles for In-Context Learning with Large Language
  Models
Active Learning Principles for In-Context Learning with Large Language Models
Katerina Margatina
Timo Schick
Nikolaos Aletras
Jane Dwivedi-Yu
30
39
0
23 May 2023
A Pretrainer's Guide to Training Data: Measuring the Effects of Data
  Age, Domain Coverage, Quality, & Toxicity
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
Shayne Longpre
Gregory Yauney
Emily Reif
Katherine Lee
Adam Roberts
...
Denny Zhou
Jason W. Wei
Kevin Robinson
David M. Mimno
Daphne Ippolito
21
148
0
22 May 2023
On the Limitations of Simulating Active Learning
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
31
11
0
21 May 2023
Investigating Multi-source Active Learning for Natural Language
  Inference
Investigating Multi-source Active Learning for Natural Language Inference
Ard Snijders
Douwe Kiela
Katerina Margatina
24
7
0
14 Feb 2023
Semi-Automated Construction of Food Composition Knowledge Base
Semi-Automated Construction of Food Composition Knowledge Base
Jason Youn
Fangzhou Li
I. Tagkopoulos
37
0
0
24 Jan 2023
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
33
65
0
18 Oct 2022
Selective Annotation Makes Language Models Better Few-Shot Learners
Selective Annotation Makes Language Models Better Few-Shot Learners
Hongjin Su
Jungo Kasai
Chen Henry Wu
Weijia Shi
Tianlu Wang
...
Rui Zhang
Mari Ostendorf
Luke Zettlemoyer
Noah A. Smith
Tao Yu
15
244
0
05 Sep 2022
Types of Out-of-Distribution Texts and How to Detect Them
Types of Out-of-Distribution Texts and How to Detect Them
Udit Arora
William Huang
He He
OODD
225
97
0
14 Sep 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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