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Learning Disentangled Joint Continuous and Discrete Representations

31 March 2018

Papers citing "Learning Disentangled Joint Continuous and Discrete Representations"

50 / 129 papers shown

Title
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 312 124 0 04 Oct 2021
Designing Complex Experiments by Applying Unsupervised Machine Learning A. Glushkovsky 167 1 0 29 Sep 2021
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders Giangiacomo Mercatali André Freitas CoGe DRL 135 27 0 15 Sep 2021
Disentanglement Analysis with Partial Information DecompositionInternational Conference on Learning Representations (ICLR), 2021 Seiya Tokui Issei Sato CoGe DRL 173 15 0 31 Aug 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 143 57 0 17 Aug 2021
Disentangling Hate in Online MemesACM Multimedia (ACM MM), 2021 Rui Cao Ziqing Fan Roy Ka-wei Lee Wen-Haw Chong Jing Jiang 170 98 0 09 Aug 2021
Unsupervised Learning of Neurosymbolic Encoders Eric Zhan Jennifer J. Sun Ann Kennedy Yisong Yue Swarat Chaudhuri 195 15 0 28 Jul 2021
Improving ClusterGAN Using Self-Augmented Information Maximization of Disentangling Latent Spaces T. Dam S. Anavatti H. Abbass 159 6 0 27 Jul 2021
Improving Robot Localisation by Ignoring Visual DistractionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Oscar Alejandro Mendez Maldonado M. Vowels Richard Bowden 76 3 0 25 Jul 2021
Motion Planning by Learning the Solution Manifold in Trajectory Optimization Takayuki Osa 125 25 0 13 Jul 2021
InfoVAEGAN : learning joint interpretable representations by information maximization and maximum likelihoodInternational Conference on Information Photonics (ICIP), 2021 Fei Ye A. Bors GAN DRL 118 16 0 09 Jul 2021
Lifelong Mixture of Variational AutoencodersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Fei Ye A. Bors DRL 103 32 0 09 Jul 2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view ClusteringIEEE International Conference on Computer Vision (ICCV), 2021 Jie Xu Yazhou Ren Huayi Tang X. Pu Xiaofeng Zhu Ming Zeng Lifang He DRL 172 142 0 21 Jun 2021
Commutative Lie Group VAE for Disentanglement LearningInternational Conference on Machine Learning (ICML), 2021 Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 175 31 0 07 Jun 2021
Discover the Unknown Biased Attribute of an Image ClassifierIEEE International Conference on Computer Vision (ICCV), 2021 Zhiheng Li Chenliang Xu 169 54 0 29 Apr 2021
Where and What? Examining Interpretable Disentangled RepresentationsComputer Vision and Pattern Recognition (CVPR), 2021 Xinqi Zhu Chang Xu Dacheng Tao FAtt DRL 181 43 0 07 Apr 2021
SKID RAW: Skill Discovery from Raw TrajectoriesIEEE Robotics and Automation Letters (RA-L), 2021 Daniel Tanneberg Kai Ploeger Elmar Rueckert Jan Peters 163 33 0 26 Mar 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process PriorsAAAI Conference on Artificial Intelligence (AAAI), 2021 Fan Shi Bin Li Xiangyang Xue LRM 226 10 0 22 Mar 2021
Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual InformationNeural Networks (NN), 2021 Takayuki Osa Voot Tangkaratt Masashi Sugiyama 250 35 0 12 Mar 2021
Benchmarks, Algorithms, and Metrics for Hierarchical DisentanglementInternational Conference on Machine Learning (ICML), 2021 A. Ross Finale Doshi-Velez DRL 294 14 0 09 Feb 2021
DEFT: Distilling Entangled Factors by Preventing Information DiffusionMachine-mediated learning (ML), 2021 Jiantao Wu Lin Wang Bo Yang Fanqi Li Chunxiuzi Liu Jin Zhou 120 2 0 08 Feb 2021
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE Sina Hajimiri Aryo Lotfi M. Baghshah DRL 74 9 0 01 Feb 2021
Variational Nested DropoutIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Yufei Cui Yushun Mao Ziquan Liu Qiao Li Antoni B. Chan Xue Liu Tei-Wei Kuo Chun Jason Xue BDL 106 5 0 27 Jan 2021
Disentangled Sequence Clustering for Human Intention InferenceIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Mark Zolotas Y. Demiris DRL 300 5 0 23 Jan 2021
Disentangled Recurrent Wasserstein AutoencoderInternational Conference on Learning Representations (ICLR), 2021 Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 156 36 0 19 Jan 2021
Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations Mihee Lee Vladimir Pavlovic DRL 107 16 0 23 Dec 2020
Disentangling images with Lie group transformations and sparse coding Ho Yin Chau Frank Qiu Yubei Chen Bruno A. Olshausen 111 13 0 11 Dec 2020
Generating Out of Distribution Adversarial Attack using Latent Space PoisoningIEEE Signal Processing Letters (IEEE SPL), 2020 Ujjwal Upadhyay Prerana Mukherjee 256 8 0 09 Dec 2020
Generating private data with user customization Xiao Chen Thomas Navidi Ram Rajagopal 129 2 0 02 Dec 2020
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders A. Glushkovsky DRL 525 6 0 24 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO ApproximationsAAAI Conference on Artificial Intelligence (AAAI), 2020 Hao Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 364 26 0 21 Nov 2020
Human-interpretable model explainability on high-dimensional data Damien de Mijolla Christopher Frye M. Kunesch J. Mansir Ilya Feige FAtt 133 12 0 14 Oct 2020
Discond-VAE: Disentangling Continuous Factors from the Discrete Jaewoong Choi Geonho Hwang Myung-joo Kang CoGe CML 157 6 0 17 Sep 2020
Learning Disentangled Representations with Latent Variation PredictabilityEuropean Conference on Computer Vision (ECCV), 2020 Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 148 27 0 25 Jul 2020
Learning the Solution Manifold in Optimization and Its Application in Motion Planning Takayuki Osa 117 2 0 24 Jul 2020
Learning latent representations across multiple data domains using Lifelong VAEGAN Fei Ye A. Bors SyDa CLL 148 78 0 20 Jul 2020
Mixture Representation Learning with Coupled Autoencoders Yeganeh M. Marghi Rohan Gala U. Sümbül BDL 123 0 0 20 Jul 2020
Disentangling by Subspace DiffusionNeural Information Processing Systems (NeurIPS), 2020 David Pfau I. Higgins Aleksandar Botev S. Racanière DiffM DRL 228 39 0 23 Jun 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Juil Sock N. Siddharth Tom Rainforth CML DRL 325 51 0 17 Jun 2020
Disentangled Representation Learning and Generation with Manifold OptimizationNeural Computation (Neural Comput.), 2020 Arun Pandey Michaël Fanuel J. Schreurs Johan A. K. Suykens CoGe DRL 115 28 0 12 Jun 2020
VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors Andriy Serdega Dae-Shik Kim DRL 107 4 0 28 May 2020
Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Latent Chord Labels and Features Yiming Wu Tristan Carsault Eita Nakamura Kazuyoshi Yoshii DRL 159 3 0 14 May 2020
Disassembling Object Representations without LabelsNeurocomputing (Neurocomputing), 2020 Zunlei Feng Xinchao Wang Yongming He Yike Yuan Xin Gao Xiuming Zhang OCL 175 0 0 03 Apr 2020
Guided Variational Autoencoder for Disentanglement LearningComputer Vision and Pattern Recognition (CVPR), 2020 Zheng Ding Yifan Xu Weijian Xu Gaurav Parmar Yang Yang Max Welling Zhuowen Tu DRL CoGe 157 120 0 02 Apr 2020
Semi-supervised Disentanglement with Independent Vector Variational Autoencoders Bo-Kyeong Kim Sungjin Park Geon-min Kim Soo-Young Lee CML DRL 101 3 0 14 Mar 2020
Toward a Controllable Disentanglement Network Zengjie Song Oluwasanmi Koyejo Jiangshe Zhang DRL 118 3 0 22 Jan 2020
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)International Conference on Learning Representations (ICLR), 2020 Peter Sorrenson Carsten Rother Ullrich Kothe DRL CML 169 125 0 14 Jan 2020
Adversarial Disentanglement with Grouped ObservationsAAAI Conference on Artificial Intelligence (AAAI), 2020 J. Németh DRL 103 8 0 14 Jan 2020
Disentangled Representation Learning with Wasserstein Total Correlation Yijun Xiao William Yang Wang OOD DRL 117 14 0 30 Dec 2019
Invertible Gaussian Reparameterization: Revisiting the Gumbel-SoftmaxNeural Information Processing Systems (NeurIPS), 2019 Andres Potapczynski Gabriel Loaiza-Ganem John P. Cunningham 204 38 0 19 Dec 2019