Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

19 November 2015

Jost Tobias Springenberg

Papers citing "Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks"

50 / 111 papers shown

Title
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events Sharaj Panwar P. Rad T. Jung Yufei Huang GAN 37 50 0 11 Nov 2019
Semi-supervised Learning using Adversarial Training with Good and Bad Samples Wenyuan Li Zichen Wang Yuguang Yue Jiayun Li W. Speier Mingyuan Zhou C. Arnold GAN 15 22 0 18 Oct 2019
Dynamic Scale Inference by Entropy Minimization Dequan Wang Evan Shelhamer Bruno A. Olshausen Trevor Darrell 27 7 0 08 Aug 2019
Semi-Supervised Learning with Scarce Annotations Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Kai Han Andrea Vedaldi Andrew Zisserman SSL 24 49 0 21 May 2019
Adversarial Variational Embedding for Robust Semi-supervised Learning Xiang Zhang Lina Yao Feng Yuan DRL GAN 30 42 0 07 May 2019
Deep Discriminative Clustering Analysis Jianlong Chang Yiwen Guo Lingfeng Wang Gaofeng Meng Shiming Xiang Chunhong Pan 36 49 0 05 May 2019
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition Devraj Mandal Sanath Narayan Sai Kumar Dwivedi Vikram Gupta Shuaib Ahmed Fahad Shahbaz Khan Ling Shao OODD 22 141 0 18 Apr 2019
Generative Adversarial Minority Oversampling S. S. Mullick Shounak Datta Swagatam Das 21 174 0 22 Mar 2019
High-Fidelity Image Generation With Fewer Labels Mario Lucic Michael Tschannen Marvin Ritter Xiaohua Zhai Olivier Bachem Sylvain Gelly GAN OOD 36 157 0 06 Mar 2019
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet Meiyu Li Hailiang Tang M. Chan Xiaobo Zhou Xiaohua Qian MedIm AI4CE 28 51 0 16 Feb 2019
Deep Divergence-Based Approach to Clustering Michael C. Kampffmeyer Sigurd Løkse F. Bianchi L. Livi Arnt-Børre Salberg Robert Jenssen 31 61 0 13 Feb 2019
Improving Deep Image Clustering With Spatial Transformer Layers Thiago V. M. Souza Cleber Zanchettin 13 5 0 09 Feb 2019
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets Hong-Yu Zhou Avital Oliver Jianxin Wu Yefeng Zheng 24 22 0 13 Dec 2018
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation Tuan-Hung Vu Himalaya Jain Max Bucher Matthieu Cord P. Pérez 40 1,280 0 30 Nov 2018
Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series Daniel J. Trosten Andreas Storvik Strauman Michael C. Kampffmeyer Robert Jenssen 18 14 0 29 Nov 2018
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning Wenbin Li Wei Xiong Haofu Liao Jing Huo Yang Gao Jiebo Luo GAN 30 44 0 01 Nov 2018
Discriminator Rejection Sampling S. Azadi Catherine Olsson Trevor Darrell Ian Goodfellow Augustus Odena 27 130 0 16 Oct 2018
Semi-supervised Text Regression with Conditional Generative Adversarial Networks Tao Li Xudong Liu Shihan Su GAN 21 15 0 02 Oct 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 31 1,370 0 19 Sep 2018
Deconfounding age effects with fair representation learning when assessing dementia Zining Zhu Jekaterina Novikova Frank Rudzicz 14 3 0 19 Jul 2018
FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs Tom Kelly Paul Guerrero A. Steed Peter Wonka Niloy J. Mitra 34 39 0 19 Jun 2018
Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas Daniel Coelho De Castro Loic Le Folgoc Ian Walker Ryutaro Tanno Daniel Rueckert Ben Glocker A. Criminisi A. Nori SSL 33 89 0 07 Jun 2018
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 11 30 0 01 Jun 2018
Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation Jichao Zhang Yezhi Shu Songhua Xu Gongze Cao Fan Zhong Meng Liu Xueying Qin CVBM 35 35 0 19 May 2018
Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training B. Liu Shuai Nie Yaping Zhang Dengfeng Ke Shan Liang Wenju Liu 33 25 0 02 May 2018
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification Xin Yi Ekta Walia P. Babyn GAN MedIm 30 50 0 10 Apr 2018
Patch-Based Image Inpainting with Generative Adversarial Networks Ugur Demir Gözde B. Ünal GAN 17 253 0 20 Mar 2018
One-Class Adversarial Nets for Fraud Detection Panpan Zheng Shuhan Yuan Xintao Wu Jun Yu Li Aidong Lu 27 160 0 05 Mar 2018
Novelty Detection with GAN M. Kliger S. Fleishman 24 57 0 28 Feb 2018
Online Detection of Action Start in Untrimmed, Streaming Videos Zheng Shou Junting Pan Jonathan Chan K. Miyazawa Hassan Mansour A. Vetro Xavier Giró-i-Nieto Shih-Fu Chang 35 61 0 19 Feb 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care Patrick Schwab E. Keller C. Muroi David J. Mack C. Strässle W. Karlen 26 23 0 14 Feb 2018
Hierarchical Adversarially Learned Inference Mohamed Ishmael Belghazi Sai Rajeswar Olivier Mastropietro Negar Rostamzadeh Jovana Mitrović Aaron Courville GAN BDL 40 29 0 04 Feb 2018
Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification K. Sugiura Hisashi Kawai 36 7 0 16 Jan 2018
Generative Adversarial Nets for Multiple Text Corpora Baiyang Wang Diego Klabjan AI4CE GAN 40 15 0 25 Dec 2017
Self-Supervised Relative Depth Learning for Urban Scene Understanding Huaizu Jiang Erik Learned-Miller Gustav Larsson Michael Maire Gregory Shakhnarovich OOD SSL 26 9 0 13 Dec 2017
Global versus Localized Generative Adversarial Nets Guo-Jun Qi Liheng Zhang Hao Hu Marzieh Edraki Jingdong Wang Xian-Sheng Hua GAN 32 81 0 16 Nov 2017
Adversarial Dropout Regularization Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada Kate Saenko GAN 25 284 0 05 Nov 2017
Structured Generative Adversarial Networks Zhijie Deng Huan Zhang Xiaodan Liang Luona Yang Shizhen Xu Jun Zhu Eric Xing GAN 31 53 0 02 Nov 2017
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang 19 242 0 01 Nov 2017
Disentangled Variational Auto-Encoder for Semi-supervised Learning Yang Li Quan Pan Suhang Wang Haiyun Peng Tao Yang Min Zhang DRL 21 86 0 15 Sep 2017
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records Zhengping Che Yu Cheng Shuangfei Zhai Zhaonan Sun Yan Liu OOD 19 159 0 06 Sep 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 21 346 0 06 Sep 2017
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor Mina Rezaei Konstantin Harmuth Willi Gierke Thomas Kellermeier Martin Fischer Haojin Yang Christoph Meinel GAN MedIm 27 120 0 17 Aug 2017
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks Cicero Nogueira dos Santos Kahini Wadhawan Bowen Zhou GAN 27 30 0 07 Jul 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 32 100 0 02 Jun 2017
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks Chris Donahue Zachary Chase Lipton Akshay Balsubramani Julian McAuley GAN 35 120 0 22 May 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 20 28 0 03 Apr 2017
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 42 448 0 07 Mar 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama 28 446 0 28 Feb 2017
Generative Adversarial Active Learning Jia Jie Zhu José Bento GAN 10 183 0 25 Feb 2017