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Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak
  Supervision for Text Classification

Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification

24 May 2023
Chengyu Dong
Zihan Wang
Jingbo Shang
ArXivPDFHTML

Papers citing "Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification"

22 / 22 papers shown
Title
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision
Yunyi Zhang
Ruozhen Yang
Xueqiang Xu
Rui Li
Jinfeng Xiao
Jiaming Shen
Jiawei Han
81
16
0
29 Feb 2024
Pre-trained Language Models Can be Fully Zero-Shot Learners
Pre-trained Language Models Can be Fully Zero-Shot Learners
Xuandong Zhao
Siqi Ouyang
Zhiguo Yu
Ming-li Wu
Lei Li
VLM
LRM
58
34
0
14 Dec 2022
LIME: Weakly-Supervised Text Classification Without Seeds
LIME: Weakly-Supervised Text Classification Without Seeds
Seongmin Park
Jihwa Lee
58
8
0
13 Oct 2022
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly
  Supervised Text Classification
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification
Dheeraj Mekala
Chengyu Dong
Jingbo Shang
40
20
0
25 May 2022
Weakly-supervised Text Classification Based on Keyword Graph
Weakly-supervised Text Classification Based on Keyword Graph
Lu Zhang
Jiandong Ding
Yi Xu
Yingyao Liu
Shuigeng Zhou
OffRL
OOD
74
56
0
06 Oct 2021
BFClass: A Backdoor-free Text Classification Framework
BFClass: A Backdoor-free Text Classification Framework
Zichao Li
Dheeraj Mekala
Chengyu Dong
Jingbo Shang
SILM
90
28
0
22 Sep 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao
Xingcheng Yao
Danqi Chen
AILaw
SSL
261
3,396
0
18 Apr 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Yogesh S Rawat
M. Shah
311
519
0
15 Jan 2021
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Fanchao Qi
Yangyi Chen
Mukai Li
Yuan Yao
Zhiyuan Liu
Maosong Sun
AAML
93
276
0
20 Nov 2020
X-Class: Text Classification with Extremely Weak Supervision
X-Class: Text Classification with Extremely Weak Supervision
Zihan Wang
Dheeraj Mekala
Jingbo Shang
59
80
0
24 Oct 2020
Weight Poisoning Attacks on Pre-trained Models
Weight Poisoning Attacks on Pre-trained Models
Keita Kurita
Paul Michel
Graham Neubig
AAML
SILM
134
451
0
14 Apr 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
439
20,181
0
23 Oct 2019
A backdoor attack against LSTM-based text classification systems
A backdoor attack against LSTM-based text classification systems
Jiazhu Dai
Chuanshuai Chen
SILM
81
329
0
29 May 2019
PAWS: Paraphrase Adversaries from Word Scrambling
PAWS: Paraphrase Adversaries from Word Scrambling
Yuan Zhang
Jason Baldridge
Luheng He
73
543
0
01 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.8K
94,891
0
11 Oct 2018
Weakly-Supervised Neural Text Classification
Weakly-Supervised Neural Text Classification
Yu Meng
Jiaming Shen
Chao Zhang
Jiawei Han
68
188
0
02 Sep 2018
A Closer Look at Memorization in Deep Networks
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
125
1,818
0
16 Jun 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,833
0
14 Jun 2017
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
268
6,113
0
04 Sep 2015
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
821
9,318
0
06 Jun 2015
Efficient Object Localization Using Convolutional Networks
Efficient Object Localization Using Convolutional Networks
Jonathan Tompson
Ross Goroshin
Arjun Jain
Yann LeCun
C. Bregler
3DH
179
1,352
0
16 Nov 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
453
7,663
0
03 Jul 2012
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