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 / 58 papers shown

Title
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models Bin Wu Wuxuan Shi Jinqiao Wang Mang Ye CLL VLM 45 0 0 06 Mar 2025
Causal Deep Learning M. Alex O. Vasilescu CML 54 2 1 03 Jan 2025
An Information Criterion for Controlled Disentanglement of Multimodal Data Chenyu Wang Sharut Gupta Xinyi Zhang Sana Tonekaboni Stefanie Jegelka Tommi Jaakkola Caroline Uhler DRL 37 1 0 31 Oct 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 48 0 0 27 May 2024
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision Hrishikesh Sharma AI4CE EGVM 13 1 0 02 Nov 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 55 2 0 24 Aug 2023
Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels Yinpeng Chen Zhiyu Pan Min Shi Hao Lu Zhiguo Cao Weicai Zhong GAN 19 3 0 31 Jul 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 29 28 0 19 Jul 2022
Factorizing Knowledge in Neural Networks Xingyi Yang Jingwen Ye Xinchao Wang MoMe 36 121 0 04 Jul 2022
Disentangling Style and Speaker Attributes for TTS Style Transfer Xiaochun An Frank Soong Lei Xie 54 18 0 24 Jan 2022
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation Jin Hong Yudong Zhang Weitian Chen OOD MedIm 24 82 0 24 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai Shengbang Tong Mingyang Li Ziyang Wu Michael Psenka ... Pengyuan Zhai Yaodong Yu Xiaojun Yuan Harry Shum Yi-An Ma 20 30 0 12 Nov 2021
Quantifying point cloud realism through adversarially learned latent representations Larissa T. Triess David Peter Stefan A. Baur J. Marius Zöllner 3DPC 21 2 0 24 Sep 2021
StyleFusion: A Generative Model for Disentangling Spatial Segments Omer Kafri Or Patashnik Yuval Alaluf Daniel Cohen-Or 24 37 0 15 Jul 2021
Improving Performance of Seen and Unseen Speech Style Transfer in End-to-end Neural TTS Xiaochun An Frank Soong Lei Xie 26 9 0 18 Jun 2021
Learning Invariant Representation of Tasks for Robust Surgical State Estimation Yidan Qin M. Allan Yisong Yue J. W. Burdick M. Azizian OOD 11 8 0 18 Feb 2021
Identity-aware Facial Expression Recognition in Compressed Video Xiaofeng Liu Linghao Jin Xu Han Jun Lu J. You Lingsheng Kong CVBM 40 20 0 01 Jan 2021
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation Aditya Sreekar Ujjwal Tiwari A. Namboodiri DRL 15 4 0 17 Nov 2020
Generative and Discriminative Learning for Distorted Image Restoration Yi Gu Yuting Gao J. Li Chentao Wu Weijia Jia 21 1 0 11 Nov 2020
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild Estèphe Arnaud Arnaud Dapogny Kévin Bailly CVBM 10 23 0 15 Oct 2020
Anomaly Detection With Conditional Variational Autoencoders Adrian Alan Pol Victor Berger G. Cerminara Cécile Germain M. Pierini CML DRL 11 111 0 12 Oct 2020
Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control Simón C. Smith S. Ramamoorthy 18 13 0 18 Sep 2020
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual Localization Hanjiang Hu Hesheng Wang Zhe Liu Weidong Chen 19 27 0 16 Sep 2020
Privacy-preserving Voice Analysis via Disentangled Representations Ranya Aloufi Hamed Haddadi David E. Boyle DRL 13 58 0 29 Jul 2020
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation Xiaofeng Liu Tong Che Yiqun Lu Chao Yang Site Li J. You 3DV 41 21 0 13 Jul 2020
Swapping Autoencoder for Deep Image Manipulation Taesung Park Jun-Yan Zhu Oliver Wang Jingwan Lu Eli Shechtman Alexei A. Efros Richard Y. Zhang 25 332 0 01 Jul 2020
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data H. Tang Hong Liu Wei Xiao N. Sebe 11 73 0 21 May 2020
Robustness Certification of Generative Models M. Mirman Timon Gehr Martin Vechev AAML 32 22 0 30 Apr 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg 8 368 0 16 Apr 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 21 21 0 26 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 173 313 0 07 Feb 2020
Unsupervised Generative 3D Shape Learning from Natural Images Attila Szabó Givi Meishvili Paolo Favaro GAN 3DH 3DV 17 69 0 01 Oct 2019
Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do T. Tran CoGe DRL 13 93 0 26 Aug 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 25 133 0 07 Jun 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning Thomas Robert Nicolas Thome Matthieu Cord CoGe DRL 20 4 0 03 Jun 2019
Multi-class Novelty Detection Using Mix-up Technique Supritam Bhattacharjee Devraj Mandal Soma Biswas 19 14 0 11 May 2019
Domain Agnostic Learning with Disentangled Representations Xingchao Peng Zijun Huang Ximeng Sun Kate Saenko OOD DRL 13 258 0 28 Apr 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations Mingda Chen Qingming Tang Sam Wiseman Kevin Gimpel DRL 23 76 0 02 Apr 2019
Relevance Factor VAE: Learning and Identifying Disentangled Factors Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe CML DRL 11 38 0 05 Feb 2019
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders Ozan Özdenizci Ye Wang T. Koike-Akino Deniz Erdogmus OOD DRL 18 59 0 17 Dec 2018
Counterfactuals uncover the modular structure of deep generative models M. Besserve Arash Mehrjou Rémy Sun Bernhard Schölkopf DRL BDL DiffM 11 107 0 08 Dec 2018
Rare Event Detection using Disentangled Representation Learning Ryuhei Hamaguchi Ken Sakurada Ryosuke Nakamura DRL 13 35 0 04 Dec 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 26 58 0 05 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 15 228 0 04 Oct 2018
Hyperprior Induced Unsupervised Disentanglement of Latent Representations Abdul Fatir Ansari Harold Soh CoGe CML UD DRL 16 31 0 12 Sep 2018
Disentangled Representation Learning for Non-Parallel Text Style Transfer V. John Lili Mou Hareesh Bahuleyan Olga Vechtomova DRL 21 295 0 13 Aug 2018
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry X. Xing Ruiqi Gao Tian Han Song-Chun Zhu Ying Nian Wu DRL 11 28 0 16 Jun 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
DiDA: Disentangled Synthesis for Domain Adaptation Jinming Cao Oren Katzir Peng-Tao Jiang Dani Lischinski Danny Cohen-Or Changhe Tu Yangyan Li 22 35 0 21 May 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 13 10 0 19 Apr 2018