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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

50 / 790 papers shown

Title
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders Saeid Asgari Taghanaki Mohammad Havaei Alex Lamb Aditya Sanghi Aram Danielyan Tonya Custis DRL 74 7 0 12 May 2020
Variance Constrained Autoencoding D. Braithwaite M. O'Connor W. Kleijn DRL 16 1 0 08 May 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park George Adosoglou P. Pardalos DRL UQCV 105 16 0 05 May 2020
A Causal View on Robustness of Neural Networks Cheng Zhang Kun Zhang Yingzhen Li CML OOD 95 85 0 03 May 2020
Towards causal generative scene models via competition of experts Julius von Kügelgen Ivan Ustyuzhaninov Peter V. Gehler Matthias Bethge Bernhard Schölkopf OCL 3DV 77 51 0 27 Apr 2020
Neural Head Reenactment with Latent Pose Descriptors Egor Burkov I. Pasechnik Artur Grigorev Victor Lempitsky 3DH 122 131 0 24 Apr 2020
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning Yu Deng Jiaolong Yang Dong Chen Fang Wen Xin Tong CoGe CVBM 87 347 0 24 Apr 2020
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation Vikash Balasubramanian I. Kobyzev Hareesh Bahuleyan I. Shapiro Olga Vechtomova OOD CoGe DRL 140 18 0 22 Apr 2020
Compositionality and Generalization in Emergent Languages Rahma Chaabouni Eugene Kharitonov Diane Bouchacourt Emmanuel Dupoux Marco Baroni CoGe AI4CE 92 139 0 20 Apr 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder Mengyue Yang Furui Liu Zhitang Chen Xinwei Shen Jianye Hao Jun Wang OOD CoGe CML 156 45 0 18 Apr 2020
ControlVAE: Controllable Variational Autoencoder Huajie Shao Shuochao Yao Dachun Sun Aston Zhang Shengzhong Liu Dongxin Liu Jianing Wang Tarek Abdelzaher DiffM DRL 70 2 0 13 Apr 2020
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma X. Kong Shanghang Zhang Eduard H. Hovy DRL 82 3 0 12 Apr 2020
Learning to Manipulate Individual Objects in an Image Yanchao Yang Yutong Chen Stefano Soatto OCL 114 38 0 11 Apr 2020
Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders Ashis Pati Alexander Lerch DRL 62 3 0 11 Apr 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 97 261 0 09 Apr 2020
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder Xiaojie Guo Yuanqi Du Sivani Tadepalli Liang Zhao Amarda Shehu DRL 61 27 0 08 Apr 2020
PatchVAE: Learning Local Latent Codes for Recognition Kamal Gupta Saurabh Singh Abhinav Shrivastava SSL DRL 51 20 0 07 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 91 26 0 06 Apr 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip Yuxuan Song Minkai Xu Lantao Yu Hao Zhou Shuo Shao Yong Yu AAML 63 16 0 03 Apr 2020
Disassembling Object Representations without Labels Zunlei Feng Xinchao Wang Yongming He Yike Yuan Xin Gao Xiuming Zhang OCL 125 0 0 03 Apr 2020
Guided Variational Autoencoder for Disentanglement Learning Zheng Ding Yifan Xu Weijian Xu Gaurav Parmar Yang Yang Max Welling Zhuowen Tu DRL CoGe 61 109 0 02 Apr 2020
Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations Berk Kaya Radu Timofte 34 7 0 22 Mar 2020
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 201 200 0 21 Mar 2020
Semi-supervised Disentanglement with Independent Vector Variational Autoencoders Bo-Kyeong Kim Sungjin Park Geon-min Kim Soo-Young Lee CML DRL 16 3 0 14 Mar 2020
Discovering Representations for Black-box Optimization Adam Gaier A. Asteroth Jean-Baptiste Mouret DRL 87 7 0 09 Mar 2020
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie Tero Karras Animesh Garg Shoubhik Debhath Anjul Patney Ankit B. Patel Anima Anandkumar DRL 174 73 0 06 Mar 2020
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems Taisuke Kobayashis BDL DRL 91 18 0 04 Mar 2020
NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps Maximilian Seitzer Andreas Foltyn Felix P. Kemeth CoGe DRL 6 0 0 27 Feb 2020
Representation Learning Through Latent Canonicalizations Or Litany Ari S. Morcos Srinath Sridhar Leonidas Guibas Judy Hoffman SSL OOD DRL 29 2 0 26 Feb 2020
Max-Affine Spline Insights into Deep Generative Networks Randall Balestriero Sébastien Paris Richard Baraniuk DRL AI4CE 47 15 0 26 Feb 2020
Progressive Learning and Disentanglement of Hierarchical Representations Zhiyuan Li J. Murkute P. Gyawali Linwei Wang DRL 71 41 0 24 Feb 2020
Low-Resource Knowledge-Grounded Dialogue Generation Xueliang Zhao Wei Wu Chongyang Tao Can Xu Dongyan Zhao Rui Yan 117 110 0 24 Feb 2020
NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Aggregated Convolutional Feature Maps Maximilian Seitzer CoGe DRL 18 2 0 23 Feb 2020
Bidirectional Generative Modeling Using Adversarial Gradient Estimation Xinwei Shen Tong Zhang Kani Chen GAN 46 9 0 21 Feb 2020
Regularized Autoencoders via Relaxed Injective Probability Flow Abhishek Kumar Ben Poole Kevin Patrick Murphy BDL TPM DRL 76 39 0 20 Feb 2020
Learning Bijective Feature Maps for Linear ICA A. Camuto M. Willetts Brooks Paige Chris Holmes Stephen J. Roberts 46 3 0 18 Feb 2020
Learning Group Structure and Disentangled Representations of Dynamical Environments Robin Quessard Thomas D. Barrett W. Clements DRL 61 21 0 17 Feb 2020
Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models Yufeng Zhang Jia Pan Wanwei Liu Zhenbang Chen Jing Wang Zhiming Liu KenLi Li H. Wei OODD DRL 98 2 0 09 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 274 321 0 07 Feb 2020
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis Guangzhi Sun Yu Zhang Ron J. Weiss Yuanbin Cao Heiga Zen Yonghui Wu 56 130 0 06 Feb 2020
Defending Adversarial Attacks via Semantic Feature Manipulation Shuo Wang Tianle Chen Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen AAML 51 7 0 03 Feb 2020
On Implicit Regularization in $β$ -VAEs Abhishek Kumar Ben Poole DRL 125 53 0 31 Jan 2020
Unsupervised Program Synthesis for Images By Sampling Without Replacement Chenghui Zhou Chun-Liang Li Barnabás Póczós 70 1 0 27 Jan 2020
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning Shuo Wang Tianle Chen Shangyu Chen Carsten Rudolph Surya Nepal M. Grobler 46 4 0 18 Jan 2020
Adversarial Disentanglement with Grouped Observations J. Németh DRL 52 8 0 14 Jan 2020
Quantum device fine-tuning using unsupervised embedding learning N. V. Esbroeck D. Lennon H. Moon Vu-Linh Nguyen F. Vigneau ... L. Yu D. Zumbuhl G. Briggs D. Sejdinovic N. Ares 53 29 0 13 Jan 2020
High-Fidelity Synthesis with Disentangled Representation Wonkwang Lee Donggyun Kim Seunghoon Hong Honglak Lee DRL 73 66 0 13 Jan 2020
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders Sarthak Bhagat Shagun Uppal Vivian Yin Nengli Lim DRL 46 2 0 08 Jan 2020
Generating Semantic Adversarial Examples via Feature Manipulation Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 81 12 0 06 Jan 2020
Operationally meaningful representations of physical systems in neural networks Hendrik Poulsen Nautrup Tony Metger Raban Iten Sofiene Jerbi Lea M. Trenkwalder H. Wilming Hans J. Briegel R. Renner AI4CE NAI 82 28 0 02 Jan 2020