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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"

50 / 75 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
279
2
0
24 Mar 2025
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation TriadComputer Vision and Pattern Recognition (CVPR), 2025
Luyao Tang
Yuxuan Yuan
Chen Chen
Zeyu Zhang
Yue Huang
Kun Zhang
310
5
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 ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Ran Xu
Hejie Cui
Yue Yu
Xuan Kan
Wenqi Shi
Yuchen Zhuang
Wei Jin
Joyce C. Ho
Carl Yang
351
32
0
28 Jan 2025
Scalable Multitask Learning Using Gradient-based Estimation of Task
  Affinity
Scalable Multitask Learning Using Gradient-based Estimation of Task AffinityKnowledge Discovery and Data Mining (KDD), 2024
Dongyue Li
Aneesh Sharma
Hongyang R. Zhang
284
10
0
09 Sep 2024
Weak Reward Model Transforms Generative Models into Robust Causal Event
  Extraction Systems
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems
Italo Luis da Silva
Hanqi Yan
Lin Gui
Yulan He
CML
302
0
0
26 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan
Nick Koudas
307
0
0
16 Jun 2024
From Basic to Extra Features: Hypergraph Transformer
  Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHRACM Conference on Health, Inference, and Learning (CHIL), 2024
Ran Xu
Yiwen Lu
Chang Liu
Yong Chen
Yan Sun
Xiao Hu
Joyce C. Ho
Carl Yang
151
1
0
09 Jun 2024
Theoretical Analysis of Weak-to-Strong Generalization
Theoretical Analysis of Weak-to-Strong Generalization
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
302
38
0
25 May 2024
Convergence Behavior of an Adversarial Weak Supervision Method
Convergence Behavior of an Adversarial Weak Supervision Method
Steven An
Sanjoy Dasgupta
183
1
0
25 May 2024
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity
  Recognition
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Elena Merdjanovska
Ansar Aynetdinov
Alan Akbik
NoLa
154
3
0
13 May 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Harit Vishwakarma
Reid Chen
Chen
Sui Jiet Tay
Satya Sai Srinath Namburi
Frederic Sala
Ramya Korlakai Vinayak
259
5
0
24 Apr 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
166
2
0
17 Apr 2024
Self-Improvement Programming for Temporal Knowledge Graph Question
  Answering
Self-Improvement Programming for Temporal Knowledge Graph Question AnsweringInternational Conference on Language Resources and Evaluation (LREC), 2024
Zhuo Chen
Zhao Zhang
Zixuan Li
Fei Wang
Yutao Zeng
Xiaolong Jin
Yongjun Xu
272
12
0
02 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
305
2
0
31 Mar 2024
A Simple but Effective Approach to Improve Structured Language Model
  Output for Information Extraction
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction
Yinghao Li
R. Ramprasad
Chao Zhang
352
24
0
20 Feb 2024
Numerical Claim Detection in Finance: A New Financial Dataset,
  Weak-Supervision Model, and Market Analysis
Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis
Agam Shah
Soungmin Lee
Pratvi Shah
Arkaprabha Banerjee
Anushka Singh
Dheeraj Eidnani
Bhaskar Chaudhury
Sudheer Chava
143
5
0
18 Feb 2024
Domain Adaptation of Multilingual Semantic Search -- Literature Review
Domain Adaptation of Multilingual Semantic Search -- Literature Review
Anna Bringmann
Anastasia Zhukova
VLM
216
0
0
05 Feb 2024
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small
  Expert-Labeled Tweets for Foodborne Illness Detection
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness DetectionBigData Congress [Services Society] (BSS), 2023
Ruofan Hu
Dongyu Zhang
Dandan Tao
Huayi Zhang
Hao Feng
Elke A. Rundensteiner
FedML
170
5
0
02 Dec 2023
PAC-tuning:Fine-tuning Pretrained Language Models with PAC-driven
  Perturbed Gradient Descent
PAC-tuning:Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient DescentConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Guang-Da Liu
Zhiyu Xue
Xitong Zhang
K. Johnson
Rongrong Wang
158
8
0
26 Oct 2023
Robust Multi-Agent Reinforcement Learning via Adversarial
  Regularization: Theoretical Foundation and Stable Algorithms
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable AlgorithmsNeural Information Processing Systems (NeurIPS), 2023
Alexander Bukharin
Yan Li
Yue Yu
Qingru Zhang
Zhehui Chen
Simiao Zuo
Chao Zhang
Songan Zhang
Tuo Zhao
OODAAML
180
33
0
16 Oct 2023
Making Scalable Meta Learning Practical
Making Scalable Meta Learning PracticalNeural Information Processing Systems (NeurIPS), 2023
Sang Keun Choe
Sanket Vaibhav Mehta
Hwijeen Ahn
Willie Neiswanger
Pengtao Xie
Emma Strubell
Eric Xing
264
20
0
09 Oct 2023
Manifold-based Verbalizer Space Re-embedding for Tuning-free
  Prompt-based Classification
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2023
Hao Wang
Sendong Zhao
Chi-Liang Liu
Nuwa Xi
Muzhen Cai
Bing Qin
Ting Liu
146
3
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
107
2
0
21 Jul 2023
S2vNTM: Semi-supervised vMF Neural Topic Modeling
S2vNTM: Semi-supervised vMF Neural Topic Modeling
Weijie Xu
Jay Desai
Srinivasan H. Sengamedu
Xiaoyu Jiang
Francis Iannacci
VLM
157
1
0
06 Jul 2023
vONTSS: vMF based semi-supervised neural topic modeling with optimal
  transport
vONTSS: vMF based semi-supervised neural topic modeling with optimal transportAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Weijie Xu
Xiaoyu Jiang
Srinivasan H. Sengamedu
Francis Iannacci
Jinjin Zhao
OTBDL
226
25
0
03 Jul 2023
Pareto Optimal Learning for Estimating Large Language Model Errors
Pareto Optimal Learning for Estimating Large Language Model ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Theodore Zhao
Mu-Hsin Wei
J. S. Preston
Hoifung Poon
248
10
0
28 Jun 2023
Weakly-Supervised Scientific Document Classification via
  Retrieval-Augmented Multi-Stage Training
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage TrainingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Ran Xu
Yue Yu
Joyce C. Ho
Carl Yang
117
22
0
12 Jun 2023
Contrastive Bootstrapping for Label Refinement
Contrastive Bootstrapping for Label RefinementAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Shudi Hou
Yu Xia
Muhao Chen
Sujian Li
130
0
0
07 Jun 2023
Local Boosting for Weakly-Supervised Learning
Local Boosting for Weakly-Supervised LearningKnowledge Discovery and Data Mining (KDD), 2023
Rongzhi Zhang
Yue Yu
Jiaming Shen
Xiquan Cui
Chao Zhang
WSOL
256
3
0
05 Jun 2023
An Adaptive Method for Weak Supervision with Drifting Data
An Adaptive Method for Weak Supervision with Drifting DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Alessio Mazzetto
Reza Esfandiarpoor
E. Upfal
Stephen H. Bach
Stephen H. Bach
310
1
0
02 Jun 2023
PV2TEA: Patching Visual Modality to Textual-Established Information
  Extraction
PV2TEA: Patching Visual Modality to Textual-Established Information ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Hejie Cui
Rongmei Lin
Nasser Zalmout
Chenwei Zhang
Jingbo Shang
Carl Yang
Xian Li
VLM
270
4
0
01 Jun 2023
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative
  Modeling
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative ModelingKnowledge Discovery and Data Mining (KDD), 2023
Yuchen Zhuang
Yue Yu
Lingkai Kong
Xiang Chen
Chao Zhang
NoLaSyDaAI4CE
234
19
0
30 May 2023
Controlled Text Generation with Hidden Representation Transformations
Controlled Text Generation with Hidden Representation TransformationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Vaibhav Kumar
H. Koorehdavoudi
Masud Moshtaghi
Amita Misra
Ankit Chadha
Emilio Ferrara
202
3
0
30 May 2023
Weaker Than You Think: A Critical Look at Weakly Supervised Learning
Weaker Than You Think: A Critical Look at Weakly Supervised LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
D. Zhu
Xiaoyu Shen
Marius Mosbach
Andreas Stephan
Dietrich Klakow
NoLa
196
14
0
27 May 2023
Cross-functional Analysis of Generalisation in Behavioural Learning
Cross-functional Analysis of Generalisation in Behavioural LearningTransactions of the Association for Computational Linguistics (TACL), 2023
Pedro Henrique Luz de Araujo
Benjamin Roth
118
4
0
22 May 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis
PTGB: Pre-Train Graph Neural Networks for Brain Network AnalysisACM Conference on Health, Inference, and Learning (CHIL), 2023
Yi Yang
Hejie Cui
Carl Yang
188
23
0
20 May 2023
Teacher Intervention: Improving Convergence of Quantization Aware
  Training for Ultra-Low Precision Transformers
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision TransformersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Minsoo Kim
Kyuhong Shim
Seongmin Park
Wonyong Sung
Jungwook Choi
MQ
124
1
0
23 Feb 2023
Weakly Supervised Label Learning Flows
Weakly Supervised Label Learning FlowsNeural Networks (Neural Netw.), 2023
You Lu
Chidubem Arachie
Bert Huang
252
2
0
19 Feb 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
Neighborhood-Regularized Self-Training for Learning with Few LabelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Ran Xu
Yue Yu
Hejie Cui
Xuan Kan
Yanqiao Zhu
Joyce C. Ho
Chao Zhang
Carl Yang
SSL
190
27
0
10 Jan 2023
Losses over Labels: Weakly Supervised Learning via Direct Loss
  Construction
Losses over Labels: Weakly Supervised Learning via Direct Loss ConstructionAAAI Conference on Artificial Intelligence (AAAI), 2022
Dylan Sam
J. Zico Kolter
NoLaOffRL
276
14
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
143
18
0
01 Nov 2022
Where to start? Analyzing the potential value of intermediate models
Where to start? Analyzing the potential value of intermediate modelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Leshem Choshen
Elad Venezian
Shachar Don-Yehiya
Noam Slonim
Yoav Katz
MoMe
331
28
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 ClassificationInternational Conference on Computational Linguistics (COLING), 2022
Ziwen Liu
J. Grau-Bové
Scott Orr
144
2
0
27 Oct 2022
SepLL: Separating Latent Class Labels from Weak Supervision Noise
SepLL: Separating Latent Class Labels from Weak Supervision NoiseConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Andreas Stephan
Vasiliki Kougia
Benjamin Roth
146
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0
25 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised
  Class-imbalanced Text Classification
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Linxin Song
Jieyu Zhang
Tianxiang Yang
M. Goto
203
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06 Oct 2022
Context-Aware Query Rewriting for Improving Users' Search Experience on
  E-commerce Websites
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce WebsitesAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Simiao Zuo
Qingyu Yin
Haoming Jiang
Shaohui Xi
Bing Yin
Chao Zhang
Tuo Zhao
155
7
0
15 Sep 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A
  Prompt-Based Uncertainty Propagation Approach
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach
Yue Yu
Rongzhi Zhang
Ran Xu
Jieyu Zhang
Jiaming Shen
Chao Zhang
147
24
0
15 Sep 2022
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase
  Generation
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Rui Meng
Tong Wang
Xingdi Yuan
Yingbo Zhou
Daqing He
200
6
0
20 Aug 2022
Low-Resource Dense Retrieval for Open-Domain Question Answering: A
  Comprehensive Survey
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey
Xiaoyu Shen
Svitlana Vakulenko
Marco Del Tredici
Gianni Barlacchi
Bill Byrne
Adria de Gispert
RALMVLM
186
20
0
05 Aug 2022
Binary Classification with Positive Labeling Sources
Binary Classification with Positive Labeling SourcesInternational Conference on Information and Knowledge Management (CIKM), 2022
Jieyu Zhang
Yujing Wang
Yaming Yang
Yang Luo
Alexander Ratner
143
6
0
02 Aug 2022
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