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Good Semi-supervised Learning that Requires a Bad GAN

Good Semi-supervised Learning that Requires a Bad GAN

27 May 2017
Zihang Dai
Zhilin Yang
Fan Yang
William W. Cohen
Ruslan Salakhutdinov
    GAN
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Papers citing "Good Semi-supervised Learning that Requires a Bad GAN"

50 / 81 papers shown
Title
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
Surajit Chakrabarty
Rukma Talwadker
Tridib Mukherjee
GAN
60
3
0
02 May 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
137
0
0
09 Feb 2025
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
A. Nguyen
Lam C. Tran
Anh Tong
Tuan-Duy H. Nguyen
Toan M. Tran
48
1
0
31 Dec 2024
Learning Privacy-Preserving Student Networks via
  Discriminative-Generative Distillation
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation
Shiming Ge
Bochao Liu
Pengju Wang
Yong Li
Dan Zeng
FedML
44
9
0
04 Sep 2024
Interleaving One-Class and Weakly-Supervised Models with Adaptive
  Thresholding for Unsupervised Video Anomaly Detection
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection
Yongwei Nie
Hao Huang
Chengjiang Long
Qing Zhang
Pradipta Maji
Hongmin Cai
34
1
0
24 Jan 2024
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
38
9
0
04 Oct 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic
  Samples
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
Shinýa Yamaguchi
41
2
0
28 Sep 2023
A Sea-Land Clutter Classification Framework for Over-the-Horizon-Radar
  Based on Weighted Loss Semi-supervised GAN
A Sea-Land Clutter Classification Framework for Over-the-Horizon-Radar Based on Weighted Loss Semi-supervised GAN
Xiaoxuan Zhang
Zengfu Wang
Kun Lu
Quanbiao Pan
Yang Li
GAN
22
1
0
06 May 2023
Gradient Imitation Reinforcement Learning for General Low-Resource
  Information Extraction
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Xuming Hu
Shiao Meng
Chenwei Zhang
Xiangli Yang
Lijie Wen
Irwin King
Philip S. Yu
52
0
0
11 Nov 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,311
0
02 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
45
113
0
24 Aug 2022
Multi-Granularity Distillation Scheme Towards Lightweight
  Semi-Supervised Semantic Segmentation
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation
Jie Qin
Jie Wu
Ming Li
Xu Xiao
Min Zheng
Xingang Wang
38
6
0
22 Aug 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
28
57
0
18 Aug 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
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
27
113
0
12 Aug 2022
Synthetic Data -- what, why and how?
Synthetic Data -- what, why and how?
James Jordon
Lukasz Szpruch
F. Houssiau
M. Bottarelli
Giovanni Cherubin
Carsten Maple
Samuel N. Cohen
Adrian Weller
46
109
0
06 May 2022
OSSGAN: Open-Set Semi-Supervised Image Generation
OSSGAN: Open-Set Semi-Supervised Image Generation
Kai Katsumata
D. Vo
Hideki Nakayama
VLM
GAN
24
6
0
29 Apr 2022
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud
  Completion
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Zhaoxin Fan
Yulin He
Zhicheng Wang
Kejian Wu
Hongyan Liu
Jun He
32
7
0
20 Apr 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency
  Regularization
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization
Yue Duan
Zhen Zhao
Lei Qi
Lei Wang
Luping Zhou
Yinghuan Shi
Yang Gao
33
33
0
27 Mar 2022
RareGAN: Generating Samples for Rare Classes
RareGAN: Generating Samples for Rare Classes
Zinan Lin
Hao Liang
Giulia Fanti
Vyas Sekar
GAN
11
9
0
20 Mar 2022
A review of Generative Adversarial Networks for Electronic Health
  Records: applications, evaluation measures and data sources
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Ghadeer O. Ghosheh
Jin Li
T. Zhu
35
32
0
14 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive
  Pseudo Labeling and Informative Active Annotation
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
Wenqiao Zhang
Lei Zhu
James Hallinan
A. Makmur
Shengyu Zhang
Qingpeng Cai
Beng Chin Ooi
30
79
0
04 Mar 2022
Debiased Self-Training for Semi-Supervised Learning
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
32
86
0
15 Feb 2022
Self Semi Supervised Neural Architecture Search for Semantic
  Segmentation
Self Semi Supervised Neural Architecture Search for Semantic Segmentation
Loïc Pauletto
Massih-Reza Amini
Nicolas Winckler
SSL
SSeg
35
1
0
29 Jan 2022
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution
  Detection
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection
Nikolaos Dionelis
Mehrdad Yaghoobi
Sotirios A. Tsaftaris
OODD
19
4
0
30 Nov 2021
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
36
14
0
11 Nov 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
19
15
0
30 Oct 2021
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking
  Perturbations
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations
Jinyong Hou
Xuejie Ding
Jeremiah D. Deng
MedIm
26
19
0
22 Oct 2021
ASAT: Adaptively Scaled Adversarial Training in Time Series
ASAT: Adaptively Scaled Adversarial Training in Time Series
Zhiyuan Zhang
Wei Li
Ruihan Bao
Keiko Harimoto
Yunfang Wu
Xu Sun
AI4TS
27
5
0
20 Aug 2021
STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification
STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification
H. Zunair
Y. Gobeil
Samuel Mercier
A. Ben Hamza
30
3
0
18 Aug 2021
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
Ankit Singh
34
108
0
30 Jun 2021
Semi-supervised Semantic Segmentation with Directional Context-aware
  Consistency
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Xin Lai
Zhuotao Tian
Li Jiang
Shu Liu
Hengshuang Zhao
Liwei Wang
Jiaya Jia
50
207
0
27 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Jia Wu
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
43
538
0
14 Jun 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
572
0
27 May 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
64
625
0
22 Jan 2021
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
Chaoqin Huang
Fei Ye
Peisen Zhao
Ya Zhang
Yanfeng Wang
Qi Tian
27
12
0
09 Dec 2020
Regularization with Latent Space Virtual Adversarial Training
Regularization with Latent Space Virtual Adversarial Training
Genki Osada
Budrul Ahsan
Revoti Prasad Bora
Takashi Nishide
30
14
0
26 Nov 2020
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Zhanghan Ke
Di Qiu
Kaican Li
Qiong Yan
Rynson W. H. Lau
28
247
0
12 Aug 2020
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis
Masoumeh Zareapoor
Pourya Shamsolmoali
Jie Yang
38
98
0
07 Aug 2020
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
Siddharth Biswal
Peiye Zhuang
A. Pyrros
Nasir Siddiqui
Oluwasanmi Koyejo
Jimeng Sun
MedIm
27
5
0
10 Jul 2020
Consistency Regularization with Generative Adversarial Networks for
  Semi-Supervised Learning
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning
Zexi Chen
B. Ramachandra
Ranga Raju Vatsavai
GAN
36
1
0
08 Jul 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
19
102
0
12 Jun 2020
Exploring the Vulnerability of Deep Neural Networks: A Study of
  Parameter Corruption
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
Xu Sun
Zhiyuan Zhang
Xuancheng Ren
Ruixuan Luo
Liangyou Li
27
39
0
10 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
27
294
0
09 Jun 2020
Metric learning by Similarity Network for Deep Semi-Supervised Learning
Metric learning by Similarity Network for Deep Semi-Supervised Learning
Sanyou Wu
Xingdong Feng
Fan Zhou
18
4
0
29 Apr 2020
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised
  Domain Adaptation
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation
H. Tran
Sumyeong Ahn
Taeyoung Lee
Yung Yi
21
2
0
19 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
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
Han Zhang
Colin Raffel
AAML
104
3,467
0
21 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
818
0
20 Jan 2020
Towards GAN Benchmarks Which Require Generalization
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani
Colin Raffel
Luke Metz
24
57
0
10 Jan 2020
Semi-Supervised Learning with Normalizing Flows
Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov
Polina Kirichenko
Marc Finzi
A. Wilson
DRL
BDL
34
111
0
30 Dec 2019
Adversarial Feature Distribution Alignment for Semi-Supervised Learning
Adversarial Feature Distribution Alignment for Semi-Supervised Learning
Christoph Mayer
M. Paul
Radu Timofte
24
12
0
22 Dec 2019
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