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Fine-Tuning Pre-trained Language Model with Weak Supervision: A
  Contrastive-Regularized Self-Training Approach
v1v2v3 (latest)

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

15 October 2020
Yue Yu
Simiao Zuo
Haoming Jiang
Wendi Ren
T. Zhao
Chao Zhang
    AI4MH
ArXiv (abs)PDFHTML

Papers citing "Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach"

25 / 75 papers shown
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible
  Products Prediction
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products PredictionKnowledge Discovery and Data Mining (KDD), 2022
Rongzhi Zhang
Rebecca West
Xiquan Cui
Chao Zhang
299
6
0
28 Jun 2022
Low Resource Pipeline for Spoken Language Understanding via Weak
  Supervision
Low Resource Pipeline for Spoken Language Understanding via Weak Supervision
Ayush Kumar
R. Tripathi
Jithendra Vepa
114
1
0
21 Jun 2022
Training Subset Selection for Weak Supervision
Training Subset Selection for Weak SupervisionNeural Information Processing Systems (NeurIPS), 2022
Hunter Lang
Aravindan Vijayaraghavan
David Sontag
NoLa
256
23
0
06 Jun 2022
Speech Detection Task Against Asian Hate: BERT the Central, While
  Data-Centric Studies the Crucial
Speech Detection Task Against Asian Hate: BERT the Central, While Data-Centric Studies the Crucial
Xin Lian
189
1
0
05 Jun 2022
XPASC: Measuring Generalization in Weak Supervision by Explainability
  and Association
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association
Luisa März
Ehsaneddin Asgari
Fabienne Braune
Franziska Zimmermann
Benjamin Roth
130
0
0
03 Jun 2022
Understanding Programmatic Weak Supervision via Source-aware Influence
  Function
Understanding Programmatic Weak Supervision via Source-aware Influence FunctionNeural Information Processing Systems (NeurIPS), 2022
Jieyu Zhang
Hong Wang
Cheng-Yu Hsieh
Alexander Ratner
TDI
228
12
0
25 May 2022
Meta Self-Refinement for Robust Learning with Weak Supervision
Meta Self-Refinement for Robust Learning with Weak SupervisionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
D. Zhu
Xiaoyu Shen
Michael A. Hedderich
Dietrich Klakow
NoLa
191
10
0
15 May 2022
Multi-Domain Targeted Sentiment Analysis
Multi-Domain Targeted Sentiment AnalysisNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Orith Toledo-Ronen
Matan Orbach
Yoav Katz
Noam Slonim
164
8
0
08 May 2022
Language Models in the Loop: Incorporating Prompting into Weak
  Supervision
Language Models in the Loop: Incorporating Prompting into Weak SupervisionACM / IMS Journal of Data Science (JDS), 2022
Ryan Smith
Jason Alan Fries
Braden Hancock
Stephen H. Bach
297
63
0
04 May 2022
ULF: Unsupervised Labeling Function Correction using Cross-Validation
  for Weak Supervision
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak SupervisionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Anastasiia Sedova
Benjamin Roth
314
2
0
14 Apr 2022
Training-Free Robust Multimodal Learning via Sample-Wise Jacobian
  Regularization
Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization
Zhengqi Gao
Sucheng Ren
Zihui Xue
Siting Li
Hang Zhao
236
3
0
05 Apr 2022
Task-guided Disentangled Tuning for Pretrained Language Models
Task-guided Disentangled Tuning for Pretrained Language ModelsFindings (Findings), 2022
Jiali Zeng
Yu Jiang
Shuangzhi Wu
Yongjing Yin
Mu Li
DRL
251
3
0
22 Mar 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive
  Weakly-Supervised Learning
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Rongzhi Zhang
Yue Yu
Pranav Shetty
Le Song
Chao Zhang
372
28
0
18 Mar 2022
Contrastive Learning of Sociopragmatic Meaning in Social Media
Contrastive Learning of Sociopragmatic Meaning in Social MediaAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Chiyu Zhang
Muhammad Abdul-Mageed
Ganesh Jawahar
351
2
0
15 Mar 2022
A Survey on Programmatic Weak Supervision
A Survey on Programmatic Weak Supervision
Jieyu Zhang
Cheng-Yu Hsieh
Yue Yu
Chao Zhang
Alexander Ratner
415
101
0
11 Feb 2022
Improving Probabilistic Models in Text Classification via Active
  Learning
Improving Probabilistic Models in Text Classification via Active LearningAmerican Political Science Review (APSR), 2022
M. Bosley
Saki Kuzushima
Ted Enamorado
Y. Shiraito
138
3
0
05 Feb 2022
AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised
  Active Learning with Pretrained Language Models
AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language Models
Yue Yu
Lingkai Kong
Jieyu Zhang
Rongzhi Zhang
Chao Zhang
174
2
0
16 Dec 2021
Customer Sentiment Analysis using Weak Supervision for Customer-Agent
  Chat
Customer Sentiment Analysis using Weak Supervision for Customer-Agent Chat
Navdeep Jain
AI4MH
155
8
0
29 Nov 2021
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning
  for Solving Math Word Problems
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems
Zhongli Li
Wenxuan Zhang
Chao Yan
Qingyu Zhou
Chao Li
Hongzhi Liu
Yunbo Cao
AIMat
164
60
0
16 Oct 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision
WRENCH: A Comprehensive Benchmark for Weak Supervision
Jieyu Zhang
Yue Yu
Yinghao Li
Yujing Wang
Yaming Yang
Mao Yang
Alexander Ratner
252
119
0
23 Sep 2021
Self-Training with Differentiable Teacher
Self-Training with Differentiable Teacher
Simiao Zuo
Yue Yu
Chen Liang
Haoming Jiang
Siawpeng Er
Chao Zhang
T. Zhao
H. Zha
180
14
0
15 Sep 2021
Named Entity Recognition with Small Strongly Labeled and Large Weakly
  Labeled Data
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Haoming Jiang
Danqing Zhang
Tianyu Cao
Bing Yin
T. Zhao
NoLa
210
48
0
16 Jun 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised
  Named Entity Recognition
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Yinghao Li
Pranav Shetty
Lu Liu
Chao Zhang
Le Song
NoLa
239
39
0
26 May 2021
DocSCAN: Unsupervised Text Classification via Learning from Neighbors
DocSCAN: Unsupervised Text Classification via Learning from NeighborsConference on Natural Language Processing (NLP), 2021
Dominik Stammbach
Elliott Ash
211
11
0
09 May 2021
InfoBERT: Improving Robustness of Language Models from An Information
  Theoretic Perspective
InfoBERT: Improving Robustness of Language Models from An Information Theoretic PerspectiveInternational Conference on Learning Representations (ICLR), 2020
Wei Ping
Shuohang Wang
Yu Cheng
Zhe Gan
R. Jia
Yue Liu
Jingjing Liu
AAML
553
130
0
05 Oct 2020
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