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

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
ArXivPDFHTML

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

34 / 34 papers shown
Title
Whispering in Amharic: Fine-tuning Whisper for Low-resource Language
Whispering in Amharic: Fine-tuning Whisper for Low-resource Language
Dawit Ketema Gete
Bedru Yimam Ahamed
Tadesse Destaw Belay
Yohannes Ayana Ejigu
Sukairaj Hafiz Imam
...
Umma Aliyu Musa
Martin Semmann
Shamsuddeen Hassan Muhammad
Henning Schreiber
Seid Muhie Yimam
52
0
0
24 Mar 2025
Sun-Shine: A Large Language Model for Tibetan Culture
Sun-Shine: A Large Language Model for Tibetan Culture
Cheng Huang
Fan Gao
Nyima Tashi
Yutong Liu
Xiangxiang Wang
...
Gadeng Luosang
Rinchen Dongrub
Dorje Tashi
Xiao Feng
Yongbin Yu
ALM
106
2
0
24 Mar 2025
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Ran Xu
Hejie Cui
Yue Yu
Xuan Kan
Wenqi Shi
Yuchen Zhuang
Wei Jin
Joyce C. Ho
Carl Yang
77
14
0
28 Jan 2025
Theoretical Analysis of Weak-to-Strong Generalization
Theoretical Analysis of Weak-to-Strong Generalization
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
32
21
0
25 May 2024
Cross-Platform Hate Speech Detection with Weakly Supervised Causal
  Disentanglement
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement
Paras Sheth
Tharindu Kumarage
Raha Moraffah
Amanat Chadha
Huan Liu
42
1
0
17 Apr 2024
From Robustness to Improved Generalization and Calibration in
  Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
53
0
0
31 Mar 2024
Domain Adaptation of Multilingual Semantic Search -- Literature Review
Domain Adaptation of Multilingual Semantic Search -- Literature Review
Anna Bringmann
Anastasia Zhukova
VLM
50
0
0
05 Feb 2024
Manifold-based Verbalizer Space Re-embedding for Tuning-free
  Prompt-based Classification
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
Hao Wang
Sendong Zhao
Chi-Liang Liu
Nuwa Xi
Muzhen Cai
Bing Qin
Ting Liu
29
1
0
08 Sep 2023
DEFTri: A Few-Shot Label Fused Contextual Representation Learning For
  Product Defect Triage in e-Commerce
DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce
Ipsita Mohanty
24
2
0
21 Jul 2023
An Adaptive Method for Weak Supervision with Drifting Data
An Adaptive Method for Weak Supervision with Drifting Data
Alessio Mazzetto
Reza Esfandiarpoor
E. Upfal
Stephen H. Bach
Stephen H. Bach
78
1
0
02 Jun 2023
Controlled Text Generation with Hidden Representation Transformations
Controlled Text Generation with Hidden Representation Transformations
Vaibhav Kumar
H. Koorehdavoudi
Masud Moshtaghi
Amita Misra
Ankit Chadha
Emilio Ferrara
31
3
0
30 May 2023
Weakly Supervised Label Learning Flows
Weakly Supervised Label Learning Flows
You Lu
Chidubem Arachie
Bert Huang
31
0
0
19 Feb 2023
Losses over Labels: Weakly Supervised Learning via Direct Loss
  Construction
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction
Dylan Sam
J. Zico Kolter
NoLa
OffRL
37
13
0
13 Dec 2022
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with
  Graph Neural Networks
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks
Yue Yu
Xuan Kan
Hejie Cui
Ran Xu
Yu Zheng
...
Kun Zhang
Razieh Nabi
Ying Guo
Chaogang Zhang
Carl Yang
20
17
0
01 Nov 2022
Where to start? Analyzing the potential value of intermediate models
Where to start? Analyzing the potential value of intermediate models
Leshem Choshen
Elad Venezian
Shachar Don-Yehiya
Noam Slonim
Yoav Katz
MoMe
35
27
0
31 Oct 2022
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text
  Classification
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification
Ziwen Liu
J. Grau-Bové
Scott Orr
45
1
0
27 Oct 2022
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible
  Products Prediction
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction
Rongzhi Zhang
Rebecca West
Xiquan Cui
Chao Zhang
37
6
0
28 Jun 2022
Training Subset Selection for Weak Supervision
Training Subset Selection for Weak Supervision
Hunter Lang
Aravindan Vijayaraghavan
David Sontag
NoLa
18
21
0
06 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
27
0
0
03 Jun 2022
Multi-Domain Targeted Sentiment Analysis
Multi-Domain Targeted Sentiment Analysis
Orith Toledo-Ronen
Matan Orbach
Yoav Katz
Noam Slonim
33
7
0
08 May 2022
Language Models in the Loop: Incorporating Prompting into Weak
  Supervision
Language Models in the Loop: Incorporating Prompting into Weak Supervision
Ryan Smith
Jason Alan Fries
Braden Hancock
Stephen H. Bach
58
53
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 Supervision
Anastasiia Sedova
Benjamin Roth
28
0
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
29
3
0
05 Apr 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive
  Weakly-Supervised Learning
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
Rongzhi Zhang
Yue Yu
Pranav Shetty
Le Song
Chao Zhang
32
23
0
18 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
34
91
0
11 Feb 2022
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
41
55
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
27
111
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
46
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
30
44
0
16 Jun 2021
InfoBERT: Improving Robustness of Language Models from An Information
  Theoretic Perspective
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
Wei Ping
Shuohang Wang
Yu Cheng
Zhe Gan
R. Jia
Bo Li
Jingjing Liu
AAML
48
113
0
05 Oct 2020
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
244
270
0
30 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
234
438
0
25 Sep 2019
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
273
1,275
0
06 Mar 2017
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
213
745
0
06 Jun 2015
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