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2301.03726
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Neighborhood-Regularized Self-Training for Learning with Few Labels
10 January 2023
Ran Xu
Yue Yu
Hejie Cui
Xuan Kan
Yanqiao Zhu
Joyce C. Ho
Chao Zhang
Carl Yang
SSL
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Papers citing
"Neighborhood-Regularized Self-Training for Learning with Few Labels"
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Title
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
69
21
0
15 Sep 2022
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization
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Youngjo Min
Daehwan Kim
Gyuseong Lee
Junyoung Seo
Kwang-seok Ryoo
Seung Wook Kim
60
42
0
18 Aug 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
Yidong Wang
Hao Chen
Yue Fan
Wangbin Sun
R. Tao
...
T. Shinozaki
Bernt Schiele
Jindong Wang
Xingxu Xie
Yue Zhang
53
116
0
12 Aug 2022
Training Subset Selection for Weak Supervision
Hunter Lang
Aravindan Vijayaraghavan
David Sontag
NoLa
44
21
0
06 Jun 2022
SimMatch: Semi-supervised Learning with Similarity Matching
Mingkai Zheng
Shan You
Lang Huang
Fei Wang
Chao Qian
Chang Xu
75
178
0
14 Mar 2022
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation
Hejie Cui
Jiaying Lu
Yao Ge
Carl Yang
51
22
0
12 Jan 2022
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification
Hazel Kim
Daecheol Woo
Seong Joon Oh
Jeong-Won Cha
Yo-Sub Han
365
33
0
16 Dec 2021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Fengbei Liu
Yu Tian
Yuanhong Chen
Yuyuan Liu
Vasileios Belagiannis
G. Carneiro
67
79
0
25 Nov 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
80
32
0
26 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
323
883
0
15 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict
Zhaowei Zhu
Zihao Dong
Yang Liu
NoLa
178
66
0
12 Oct 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision
Jieyu Zhang
Yue Yu
Yinghao Li
Yujing Wang
Yaming Yang
Mao Yang
Alexander Ratner
43
113
0
23 Sep 2021
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
244
105
0
15 Jul 2021
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration
Xuan Kan
Hejie Cui
Carl Yang
96
41
0
11 Jul 2021
Graph Contrastive Learning Automated
Yuning You
Tianlong Chen
Yang Shen
Zhangyang Wang
68
463
0
10 Jun 2021
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
Xiaobo Xia
Tongliang Liu
Bo Han
Biwei Huang
Jun Yu
Gang Niu
Masashi Sugiyama
NoLa
58
111
0
01 Jun 2021
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
78
576
0
28 Feb 2021
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
308
513
0
15 Jan 2021
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels?
Jingling Li
Mozhi Zhang
Keyulu Xu
John P. Dickerson
Jimmy Ba
OOD
NoLa
41
19
0
23 Dec 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li
Caiming Xiong
Guosheng Lin
SSL
73
257
0
23 Nov 2020
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
73
1,091
0
27 Oct 2020
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Yue Yu
Simiao Zuo
Haoming Jiang
Wendi Ren
T. Zhao
Chao Zhang
AI4MH
41
133
0
15 Oct 2020
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup
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Yue Yu
Chao Zhang
VLM
40
94
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05 Oct 2020
Self-training Improves Pre-training for Natural Language Understanding
Jingfei Du
Edouard Grave
Beliz Gunel
Vishrav Chaudhary
Onur Çelebi
Michael Auli
Ves Stoyanov
Alexis Conneau
VLM
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45
164
0
05 Oct 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu
Carl Yang
Yidan Xu
Haonan Wang
Chao Zhang
Jiawei Han
80
118
0
11 Sep 2020
Long-tail learning via logit adjustment
A. Menon
Sadeep Jayasumana
A. S. Rawat
Himanshu Jain
Andreas Veit
Sanjiv Kumar
109
699
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14 Jul 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Zhong Hao
Chengqiang Lu
Zheyuan Hu
Hongya Wang
Zhenya Huang
Qi Liu
Enhong Chen
Cheekong Lee
104
137
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07 Jul 2020
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision
Chen Liang
Yue Yu
Haoming Jiang
Siawpeng Er
Ruijia Wang
T. Zhao
Chao Zhang
OffRL
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237
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28 Jun 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Yu Rong
Yatao Bian
Tingyang Xu
Wei-yang Xie
Ying Wei
Wenbing Huang
Junzhou Huang
AI4CE
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MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
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Zichao Yang
Diyi Yang
VLM
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A Simple Framework for Contrastive Learning of Visual Representations
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Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
291
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13 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
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Colin Raffel
AAML
149
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21 Jan 2020
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
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259
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Revisiting Self-Training for Neural Sequence Generation
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Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
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273
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Discriminative Topic Mining via Category-Name Guided Text Embedding
Yu Meng
Jiaxin Huang
Guangyuan Wang
Zihan Wang
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Jiawei Han
59
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Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
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Diego Ortego
Paul Albert
Noel E. O'Connor
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InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
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Vikas Verma
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RoBERTa: A Robustly Optimized BERT Pretraining Approach
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Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
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26 Jul 2019
Variational Pretraining for Semi-supervised Text Classification
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Strategies for Pre-training Graph Neural Networks
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Marinka Zitnik
Percy Liang
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Eduard H. Hovy
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Quoc V. Le
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining
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Wonjin Yoon
Sungdong Kim
Donghyeon Kim
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Chan Ho So
Jaewoo Kang
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25 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Geoff Pleiss
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Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
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MoleculeNet: A Benchmark for Molecular Machine Learning
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Bharath Ramsundar
Evan N. Feinberg
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Billion-scale similarity search with GPUs
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Character-level Convolutional Networks for Text Classification
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Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
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Zoubin Ghahramani
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