Guided Variational Autoencoder for Disentanglement Learning

2 April 2020

Papers citing "Guided Variational Autoencoder for Disentanglement Learning"

50 / 53 papers shown

Title
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement Chenrui Ma Rongchang Zhao Xi Xiao Hongyang Xie Tianyang Wang Xuben Wang H. M. Zhang Yanning Shen 65 1 0 11 Mar 2025
Unsupervised Region-Based Image Editing of Denoising Diffusion Models ZeLin Li Yue Song R. Tao Xiaohong Jia Yao Zhao Wei Wang DiffM 82 0 0 17 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
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations Anselm Haselhoff Kevin Trelenberg Fabian Küppers Jonas Schneider 29 1 0 19 Sep 2024
Defining and Measuring Disentanglement for non-Independent Factors of Variation Antonio Almudévar Alfonso Ortega Luis Vicente A. Miguel Eduardo Lleida CoGe DRL 44 0 0 13 Aug 2024
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models Mengdan Zhu Raasikh Kanjiani Jiahui Lu Andrew Choi Qirui Ye Liang Zhao DiffM 42 1 0 21 Jun 2024
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning Jakaria Rabbi Johannes Kiechle Christian Beaulieu Nilanjan Ray Dana Cobzas 32 0 0 31 Mar 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 46 4 0 06 Mar 2024
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning Lingzhi Gao Zexi Li Yang Lu Chao Wu 39 6 0 30 Nov 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 29 3 0 30 Sep 2023
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 29 3 0 22 Sep 2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning Hiroki Nakamura Masashi Okada T. Taniguchi SSL NAI 28 0 0 08 Sep 2023
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications Peter Tu Zhaoyuan Yang Richard I. Hartley Zhiwei Xu Jing Zhang Yiwei Fu Dylan Campbell Jaskirat Singh Tianyu Wang DiffM 30 2 0 06 Jul 2023
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs Kaiwen Xu Kazuto Fukuchi Youhei Akimoto Jun Sakuma 28 2 0 27 May 2023
Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI Qiankun Zuo Baiying Lei Ning Zhong Yi Pan Shuqiang Wang 11 29 0 23 May 2023
Latent Traversals in Generative Models as Potential Flows Yue Song Andy Keller N. Sebe Max Welling DRL 28 10 0 25 Apr 2023
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation Yining Jiao C. Zdanski Julia Kimbell Andrew Prince Cameron P Worden ... Christopher Rutter Benjamin Shields William Dunn Jisan Mahmud Marc Niethammer 39 3 0 16 Mar 2023
3D Generative Model Latent Disentanglement via Local Eigenprojection Simone Foti Bongjin Koo Danail Stoyanov Matthew J. Clarkson 41 6 0 24 Feb 2023
Few-Shot Object Detection via Variational Feature Aggregation Jiaming Han Yuqiang Ren Jian Ding Ke Yan Guisong Xia 35 64 0 31 Jan 2023
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification Ming-Chang Chiu Pin-Yu Chen Xuezhe Ma 36 6 0 16 Dec 2022
UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis Yinjiao Lei Shan Yang Xinsheng Wang Qicong Xie Jixun Yao Linfu Xie Dan Su DiffM 21 8 0 03 Dec 2022
Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis Duomin Wang Yu Deng Zixin Yin H. Shum Baoyuan Wang 13 60 0 26 Nov 2022
Predicting Human Mobility via Self-supervised Disentanglement Learning Qiang Gao Jinyung Hong Xovee Xu Ping Kuang Fan Zhou Goce Trajcevski 23 12 0 17 Nov 2022
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness Jiahao Zhao Wenji Mao DRL OOD 21 3 0 26 Oct 2022
Automated Urban Planning aware Spatial Hierarchies and Human Instructions Dongjie Wang Kunpeng Liu Yanyong Huang Leilei Sun Bowen Du Yanjie Fu AI4CE 33 3 0 26 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 26 11 0 15 Sep 2022
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification Chu-ran Wang Jing Li Xinwei Sun Fandong Zhang Yizhou Yu Yizhou Wang MedIm OOD 38 2 0 21 Apr 2022
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders Irem Cetin Maialen Stephens Oscar Camara M. A. G. Ballester DRL 38 39 0 20 Mar 2022
Learning Representation for Bayesian Optimization with Collision-free Regularization Fengxue Zhang Brian D. Nord Yuxin Chen OOD BDL 14 2 0 16 Mar 2022
Self-Supervised Learning based Monaural Speech Enhancement with Complex-Cycle-Consistent Yi Li Yang Sun S. M. Naqvi 16 1 0 21 Dec 2021
Molecular Attributes Transfer from Non-Parallel Data Shuangjia Zheng Ying Song Zhang Pan Chengtao Li Le Song Yuedong Yang 15 0 0 30 Nov 2021
TRIP: Refining Image-to-Image Translation via Rival Preferences Yinghua Yao Yuangang Pan Ivor W. Tsang Xin Yao 15 0 0 26 Nov 2021
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces Simone Foti Bongjin Koo Danail Stoyanov Matthew J. Clarkson CoGe 9 15 0 24 Nov 2021
Action2video: Generating Videos of Human 3D Actions Chuan Guo Wei Ji Sen Wang Xinshuang Liu Shihao Zou Minglun Gong Li Cheng 3DH 71 22 0 12 Nov 2021
Controllable Data Augmentation Through Deep Relighting G. Chogovadze Rémi Pautrat Marc Pollefeys ViT 23 4 0 26 Oct 2021
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning Dongjie Wang Kunpeng Liu Pauline Johnson Leilei Sun Bowen Du Yanjie Fu 30 12 0 12 Oct 2021
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition Mingzhou Liu Xinwei Sun Fandong Zhang Yizhou Yu Yizhou Wang 30 0 0 08 Oct 2021
VAE-CE: Visual Contrastive Explanation using Disentangled VAEs Y. Poels Vlado Menkovski CoGe DRL 32 3 0 20 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 21 55 0 17 Aug 2021
Unsupervised Learning of Neurosymbolic Encoders Eric Zhan Jennifer J. Sun Ann Kennedy Yisong Yue Swarat Chaudhuri 19 13 0 28 Jul 2021
Manifold Matching via Deep Metric Learning for Generative Modeling Mengyu Dai Haibin Hang GAN 24 9 0 20 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 100 33 0 03 Jun 2021
Time Series Analysis and Modeling to Forecast: a Survey F. Dama Christine Sinoquet AI4TS 16 3 0 31 Mar 2021
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval Aneeshan Sain A. Bhunia Yongxin Yang Tao Xiang Yi-Zhe Song 8 79 0 29 Mar 2021
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning Guy Tennenholtz Shie Mannor OffRL 26 11 0 22 Feb 2021
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE Sina Hajimiri Aryo Lotfi M. Baghshah DRL 8 8 0 01 Feb 2021
Blocked and Hierarchical Disentangled Representation From Information Theory Perspective Ziwen Liu Mingqiang Li Congying Han DRL 13 1 0 21 Jan 2021
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation A. Dubey M. T. Young Christopher Stanley D. Lunga Jacob D. Hinkle OOD 21 5 0 19 Dec 2020
Generative Capacity of Probabilistic Protein Sequence Models Francisco McGee Quentin Novinger R. Levy Vincenzo Carnevale A. Haldane 27 34 0 03 Dec 2020
Unpaired Image-to-Image Translation via Latent Energy Transport Yang Zhao Changyou Chen 11 27 0 01 Dec 2020