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Learning to Infer from Unlabeled Data: A Semi-supervised Learning
  Approach for Robust Natural Language Inference

Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference

5 November 2022
Mobashir Sadat
Cornelia Caragea
ArXivPDFHTML

Papers citing "Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference"

4 / 4 papers shown
Title
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact
  Verification Models
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
Minwoo Lee
Seungpil Won
Juae Kim
Hwanhee Lee
Cheoneum Park
Kyomin Jung
41
29
0
30 Sep 2021
Data Augmentation using Pre-trained Transformer Models
Data Augmentation using Pre-trained Transformer Models
Varun Kumar
Ashutosh Choudhary
Eunah Cho
VLM
214
347
0
04 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
297
6,959
0
20 Apr 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
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