Disentangling factors of variation in deep representations using adversarial training

10 November 2016

Papers citing "Disentangling factors of variation in deep representations using adversarial training"

50 / 263 papers shown

Title
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT Avi Ben-Cohen Roey Mechrez Noa Yedidia H. Greenspan OOD DRL MedIm 21 21 0 01 Nov 2018
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness Raphael Suter Ðorðe Miladinovic Bernhard Schölkopf Stefan Bauer CML OOD DRL 11 159 0 31 Oct 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 32 58 0 05 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 28 229 0 04 Oct 2018
Open-Ended Content-Style Recombination Via Leakage Filtering Karl Ridgeway Michael C. Mozer DRL VLM 14 2 0 28 Sep 2018
Hyperprior Induced Unsupervised Disentanglement of Latent Representations Abdul Fatir Ansari Harold Soh CoGe CML UD DRL 19 31 0 12 Sep 2018
Deep Micro-Dictionary Learning and Coding Network Hao Tang Heng Wei Wei Xiao Wei Wang Dan Xu Yan Yan N. Sebe 16 10 0 11 Sep 2018
Group-based Learning of Disentangled Representations with Generalizability for Novel Contents H. Hosoya OOD BDL DRL 14 9 0 07 Sep 2018
Discovering Influential Factors in Variational Autoencoder Shiqi Liu Jingxin Liu Qian Zhao Xiangyong Cao Huibin Li Hongying Meng Sheng Liu Deyu Meng DRL CML 8 1 0 06 Sep 2018
Disentangled Representation Learning for Non-Parallel Text Style Transfer V. John Lili Mou Hareesh Bahuleyan Olga Vechtomova DRL 23 295 0 13 Aug 2018
Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia P. Gyawali B. Horácek J. Sapp Linwei Wang 30 3 0 04 Aug 2018
Diverse Image-to-Image Translation via Disentangled Representations Hsin-Ying Lee Hung-Yu Tseng Jia-Bin Huang M. Singh Ming Yang DRL 10 903 0 02 Aug 2018
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer David Berthelot Colin Raffel Aurko Roy Ian Goodfellow 10 260 0 19 Jul 2018
Excavate Condition-invariant Space by Intrinsic Encoder Jian Xu Chunheng Wang Cunzhao Shi Baihua Xiao BDL 19 1 0 29 Jun 2018
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry X. Xing Ruiqi Gao Tian Han Song-Chun Zhu Ying Nian Wu DRL 19 28 0 16 Jun 2018
Factorized Adversarial Networks for Unsupervised Domain Adaptation Jian Ren Jianchao Yang N. Xu D. Foran OOD 17 4 0 04 Jun 2018
Generative Adversarial Image Synthesis with Decision Tree Latent Controller Takuhiro Kaneko Kaoru Hiramatsu K. Kashino 31 25 0 27 May 2018
Image-to-image translation for cross-domain disentanglement Abel Gonzalez-Garcia Joost van de Weijer Yoshua Bengio DRL 25 239 0 24 May 2018
Invariant Representations from Adversarially Censored Autoencoders Ye Wang T. Koike-Akino Deniz Erdogmus CML 19 21 0 21 May 2018
DiDA: Disentangled Synthesis for Domain Adaptation Jinming Cao Oren Katzir Peng-Tao Jiang Dani Lischinski Danny Cohen-Or Changhe Tu Yangyan Li 30 35 0 21 May 2018
Dilated Temporal Relational Adversarial Network for Generic Video Summarization Yujia Zhang Michael C. Kampffmeyer Xiaodan Liang Dingwen Zhang Min Tan Eric P. Xing ViT 22 48 0 30 Apr 2018
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders A. Jha Saket Anand Maneesh Kumar Singh V. Veeravasarapu CoGe DRL 11 126 0 27 Apr 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 21 10 0 19 Apr 2018
Multimodal Unsupervised Image-to-Image Translation Xun Huang Ming-Yu Liu Serge J. Belongie Jan Kautz 39 2,473 0 12 Apr 2018
Unsupervised Discovery of Object Landmarks as Structural Representations Y. Zhang Yijie Guo Yixin Jin Yijun Luo Zhiyuan He Honglak Lee OCL 38 194 0 12 Apr 2018
A Large-scale Attribute Dataset for Zero-shot Learning Bo-Lu Zhao Yanwei Fu Rui Liang Jiahong Wu Yonggang Wang Yizhou Wang 11 48 0 12 Apr 2018
Ranking CGANs: Subjective Control over Semantic Image Attributes Y. Saquil K. Kim P. Hall GAN EGVM 17 33 0 11 Apr 2018
Probabilistic Video Generation using Holistic Attribute Control Jiawei He Andreas M. Lehrmann Joseph Marino Greg Mori Leonid Sigal VGen DiffM DRL 22 77 0 21 Mar 2018
VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition Jiawei Chen Janusz Konrad Prakash Ishwar PICV 6 94 0 19 Mar 2018
Factorised spatial representation learning: application in semi-supervised myocardial segmentation A. Chartsias T. Joyce G. Papanastasiou S. Semple M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 51 69 0 19 Mar 2018
Music Style Transfer: A Position Paper Shuqi Dai Zheng-Wei Zhang Gus G. Xia 17 49 0 19 Mar 2018
Disentangled Sequential Autoencoder Yingzhen Li Stephan Mandt CoGe 36 270 0 08 Mar 2018
Distribution Matching in Variational Inference Mihaela Rosca Balaji Lakshminarayanan S. Mohamed GAN CML DRL 35 98 0 19 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 10 1,327 0 16 Feb 2018
Pros and Cons of GAN Evaluation Measures Ali Borji ELM EGVM 37 866 0 09 Feb 2018
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples D. Sun Tongzheng Ren Chongxun Li Hang Su Jun Zhu 21 86 0 06 Dec 2017
GAGAN: Geometry-Aware Generative Adversarial Networks Jean Kossaifi Linh-Tam Tran Yannis Panagakis M. Pantic GAN 19 47 0 03 Dec 2017
An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations Mengjiao MJ Wang Zhixin Shu Shiyang Cheng Yannis Panagakis Dimitris Samaras S. Zafeiriou CoGe DRL 25 27 0 28 Nov 2017
Disentangling Dynamics and Content for Control and Planning Ershad Banijamali Ahmad Khajenezhad A. Ghodsi Mohammad Ghavamzadeh 27 2 0 24 Nov 2017
JADE: Joint Autoencoders for Dis-Entanglement Ershad Banijamali Amir-Hossein Karimi A. Wong A. Ghodsi CoGe DRL 21 15 0 24 Nov 2017
Bidirectional Conditional Generative Adversarial Networks Ayush Jaiswal Wael AbdAlmageed Yue Wu Premkumar Natarajan GAN 16 36 0 20 Nov 2017
Disentangling Factors of Variation by Mixing Them Qiyang Hu Attila Szabó Tiziano Portenier Matthias Zwicker Paolo Favaro OCL CoGe DRL 15 76 0 20 Nov 2017
Challenges in Disentangling Independent Factors of Variation Attila Szabó Qiyang Hu Tiziano Portenier Matthias Zwicker Paolo Favaro DRL CoGe 14 52 0 07 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 19 517 0 02 Nov 2017
Multi-View Data Generation Without View Supervision Mickaël Chen Ludovic Denoyer Thierry Artières SyDa 21 19 0 01 Nov 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 19 160 0 06 Sep 2017
A Two-Step Disentanglement Method Naama Hadad Lior Wolf Shimon Shahar 16 79 0 01 Sep 2017
GANs for Biological Image Synthesis A. Osokin A. Chessel R. Carazo-Salas F. Vaggi GAN 19 103 0 15 Aug 2017
Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks Taeksoo Kim Byoungjip Kim Moonsu Cha Jiwon Kim GAN 24 41 0 31 Jul 2017
Scalable and Effective Deep CCA via Soft Decorrelation Xiaobin Chang Tao Xiang Timothy M. Hospedales 27 3 0 30 Jul 2017