Learning Disentangled Joint Continuous and Discrete Representations

31 March 2018

Papers citing "Learning Disentangled Joint Continuous and Discrete Representations"

35 / 35 papers shown

Title
Bird Vocalization Embedding Extraction Using Self-Supervised Disentangled Representation Learning Runwu Shi Katsutoshi Itoyama K. Nakadai SSL DRL 44 1 0 31 Dec 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 29 0 0 07 Oct 2024
Rethinking Multi-view Representation Learning via Distilled Disentangling Guanzhou Ke Bo Wang Xiaoli Wang Shengfeng He 37 3 0 16 Mar 2024
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 20 1 0 18 Feb 2023
Learning State Transition Rules from Hidden Layers of Restricted Boltzmann Machines Koji Watanabe Katsumi Inoue AI4CE 14 1 0 07 Dec 2022
Disentangled Representation Learning Xin Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 35 78 0 21 Nov 2022
DOT-VAE: Disentangling One Factor at a Time Vaishnavi Patil Matthew Evanusa J. JáJá CoGe DRL CML 23 1 0 19 Oct 2022
DIDER: Discovering Interpretable Dynamically Evolving Relations Enna Sachdeva Chiho Choi 38 2 0 22 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 39 17 0 22 Aug 2022
Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net Risako Tanigawa Yasunori Ishii Kazuki Kozuka Takayoshi Yamashita 24 1 0 11 May 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 29 44 0 17 Mar 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Self-supervised Enhancement of Latent Discovery in GANs Silpa Vadakkeeveetil Sreelatha Adarsh Kappiyath S. Sumitra 39 3 0 16 Dec 2021
Group-disentangled Representation Learning with Weakly-Supervised Regularization Linh-Tam Tran Amir Hosein Khasahmadi Aditya Sanghi Saeid Asgari Taghanaki DRL 34 1 0 23 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 26 93 0 04 Oct 2021
Designing Complex Experiments by Applying Unsupervised Machine Learning A. Glushkovsky 19 0 0 29 Sep 2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation Yuxiang Wei Yupeng Shi Xiao-Chang Liu Zhilong Ji Yuan Gao Zhongqin Wu W. Zuo 21 55 0 17 Aug 2021
Disentangling Hate in Online Memes Rui Cao Ziqing Fan Roy Ka-Wei Lee Wen-Haw Chong Jing Jiang 26 76 0 09 Aug 2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering Jie Xu Yazhou Ren Huayi Tang X. Pu Xiaofeng Zhu Ming Zeng Lifang He DRL 15 106 0 21 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 32 22 0 07 Jun 2021
Where and What? Examining Interpretable Disentangled Representations Xinqi Zhu Chang Xu Dacheng Tao FAtt DRL 48 38 0 07 Apr 2021
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning Ujjwal Upadhyay Prerana Mukherjee 39 6 0 09 Dec 2020
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders A. Glushkovsky DRL 19 6 0 24 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations H. Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 34 24 0 21 Nov 2020
Learning Disentangled Representations with Latent Variation Predictability Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 14 26 0 25 Jul 2020
Disassembling Object Representations without Labels Zunlei Feng Xinchao Wang Yongming He Yike Yuan Xin Gao Xiuming Zhang OCL 18 0 0 03 Apr 2020
Guided Variational Autoencoder for Disentanglement Learning Zheng Ding Yifan Xu Weijian Xu Gaurav Parmar Yang Yang Max Welling Z. Tu DRL CoGe 23 106 0 02 Apr 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax Andres Potapczynski G. Loaiza-Ganem John P. Cunningham 32 29 0 19 Dec 2019
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders Yu Duan Canwen Xu Jiaxin Pei Jialong Han Chenliang Li 16 42 0 10 Nov 2019
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 164 0 21 Aug 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning Thomas Robert Nicolas Thome Matthieu Cord CoGe DRL 25 4 0 03 Jun 2019
Relevance Factor VAE: Learning and Identifying Disentangled Factors Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe CML DRL 19 38 0 05 Feb 2019
Interpretable Neuron Structuring with Graph Spectral Regularization Alexander Tong David van Dijk Jay S. Stanley Matthew Amodio Kristina M. Yim R. Muhle J. Noonan Guy Wolf Smita Krishnaswamy 21 6 0 30 Sep 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 21 10 0 19 Apr 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 21 165 0 06 Apr 2018