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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

50 / 790 papers shown

Title
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 80 0 0 24 Mar 2023
Variantional autoencoder with decremental information bottleneck for disentanglement Jiantao Wu Shentong Mo Xiang Yang Muhammad Awais Sara Atito Xingshen Zhang Lin Wang Xiang Yang DRL 40 1 0 22 Mar 2023
Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation Zizhao Hu Mohammad Rostami DRL 46 2 0 22 Mar 2023
Approaching an unknown communication system by latent space exploration and causal inference Gašper Beguš Andrej Leban Shane Gero 50 4 0 20 Mar 2023
Object-Centric Slot Diffusion Jindong Jiang Fei Deng Gautam Singh S. Ahn DiffM BDL OCL 131 61 0 20 Mar 2023
Discovering Predictable Latent Factors for Time Series Forecasting Jingyi Hou Zhen Dong Jiayu Zhou Zhijie Liu AI4TS BDL 80 1 0 18 Mar 2023
DAVA: Disentangling Adversarial Variational Autoencoder Benjamin Estermann Roger Wattenhofer DRL 151 8 0 02 Mar 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 117 29 0 02 Mar 2023
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations Xuyang Zhao Tianqi Du Yisen Wang Jun Yao Weiran Huang 117 13 0 02 Mar 2023
Representation Disentaglement via Regularization by Causal Identification Juan Castorena OOD CML 137 0 0 28 Feb 2023
3D Generative Model Latent Disentanglement via Local Eigenprojection Simone Foti Bongjin Koo Danail Stoyanov Matthew J. Clarkson 71 6 0 24 Feb 2023
Deep Kernel Principal Component Analysis for Multi-level Feature Learning F. Tonin Qinghua Tao Panagiotis Patrinos Johan A. K. Suykens 37 26 0 22 Feb 2023
Scalable Infomin Learning Yanzhi Chen Wei-Der Sun Yingzhen Li Adrian Weller 100 8 0 21 Feb 2023
Disentangling Learning Representations with Density Estimation Eric C. Yeats Frank Liu Hai Helen Li BDL DRL CML 111 2 0 08 Feb 2023
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs Rachael Harkness Alejandro F Frangi K. Zucker Nishant Ravikumar CML CoGe 35 4 0 06 Feb 2023
Disentanglement of Latent Representations via Causal Interventions Gaël Gendron Michael Witbrock Gillian Dobbie OOD CML CoGe 140 2 0 02 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 82 13 0 01 Feb 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models Tao Yang Yuwang Wang Yan Lv Nanning Zh DiffM 144 24 0 31 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 147 11 0 29 Jan 2023
Towards Robust Metrics for Concept Representation Evaluation M. Zarlenga Pietro Barbiero Z. Shams Dmitry Kazhdan Umang Bhatt Adrian Weller M. Jamnik 86 24 0 25 Jan 2023
Score-based Causal Representation Learning with Interventions Burak Varici Emre Acartürk Karthikeyan Shanmugam Abhishek Kumar A. Tajer CML 111 39 0 19 Jan 2023
DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies Oscar Skean J. Hoyos-Osorio A. Brockmeier L. S. Giraldo 80 13 0 19 Jan 2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement Yuante Li Xin-xin Lu Yaqing Wang De-Yu Dou DiffM AI4TS 97 105 0 08 Jan 2023
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models Qiucheng Wu Yujian Liu Handong Zhao Ajinkya Kale T. Bui Tong Yu Zhe Lin Yang Zhang Shiyu Chang DiffM CoGe 91 104 0 16 Dec 2022
Retrieval-based Disentangled Representation Learning with Natural Language Supervision Jiawei Zhou Xiaoguang Li Lifeng Shang Xin Jiang Qun Liu Lei Chen DRL 82 6 0 15 Dec 2022
ContraFeat: Contrasting Deep Features for Semantic Discovery Xinqi Zhu Chang Xu Dacheng Tao DRL 92 2 0 14 Dec 2022
LADIS: Language Disentanglement for 3D Shape Editing Ian Huang Panos Achlioptas Tianyi Zhang Sergey Tulyakov Minhyuk Sung Leonidas Guibas 62 10 0 09 Dec 2022
Learning Domain Invariant Prompt for Vision-Language Models Cairong Zhao Yubin Wang Xinyang Jiang Yifei Shen Kaitao Song Dongsheng Li Duoqian Miao VLM VPVLM 90 27 0 08 Dec 2022
Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection Christophe Ley Jorge F. Silva OOD CML 33 1 0 05 Dec 2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing Nataniel Ruiz Sarah Adel Bargal Cihang Xie Kate Saenko Stan Sclaroff ViT 74 5 0 29 Nov 2022
Disentangled Generation with Information Bottleneck for Few-Shot Learning Zhuohang Dang Jihong Wang Minnan Luo Chengyou Jia Caixia Yan Qinghua Zheng 73 1 0 29 Nov 2022
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI Ayantika Das Arun Palla Keerthi Ram M. Sivaprakasam OOD 40 1 0 28 Nov 2022
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning Sébastien Lachapelle T. Deleu Divyat Mahajan Ioannis Mitliagkas Yoshua Bengio Simon Lacoste-Julien Quentin Bertrand 78 34 0 26 Nov 2022
Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis Duomin Wang Yu Deng Zixin Yin H. Shum Baoyuan Wang 85 61 0 26 Nov 2022
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 174 87 0 21 Nov 2022
Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders Priya Mani C. Domeniconi BDL SSL DRL 75 1 0 18 Nov 2022
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling Romain Lopez Natavsa Tagasovska Stephen Ra K. Cho J. Pritchard Aviv Regev OOD CML DRL 100 39 0 07 Nov 2022
Disentangling Content and Motion for Text-Based Neural Video Manipulation Levent Karacan Tolga Kerimouglu .Ismail .Inan Tolga Birdal Erkut Erdem Aykut Erdem 90 1 0 05 Nov 2022
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 114 37 0 02 Nov 2022
A robust estimator of mutual information for deep learning interpretability Davide Piras H. Peiris A. Pontzen Luisa Lucie-Smith Ningyuan Guo Brian D. Nord SSL DRL 84 17 0 31 Oct 2022
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness Jiahao Zhao Wenji Mao DRL OOD 61 3 0 26 Oct 2022
Disentangled Speech Representation Learning for One-Shot Cross-lingual Voice Conversion Using $β$ -VAE Hui Lu Disong Wang Xixin Wu Zhiyong Wu Xunying Liu Helen M. Meng DRL 115 10 0 25 Oct 2022
The Robustness Limits of SoTA Vision Models to Natural Variation Mark Ibrahim Q. Garrido Ari S. Morcos Diane Bouchacourt VLM 99 16 0 24 Oct 2022
GAN-based Facial Attribute Manipulation Yunfan Liu Qi Li Qiyao Deng Zhen Sun Mingcong Yang CVBM 129 32 0 23 Oct 2022
DOT-VAE: Disentangling One Factor at a Time Vaishnavi Patil Matthew Evanusa Joseph Jaja CoGe DRL CML 57 1 0 19 Oct 2022
Break The Spell Of Total Correlation In betaTCVAE Zihao Chen Qiang Li Bing Guo CML DRL 59 1 0 17 Oct 2022
Commutativity and Disentanglement from the Manifold Perspective Frank Qiu CoGe 56 0 0 14 Oct 2022
Disentanglement of Correlated Factors via Hausdorff Factorized Support Karsten Roth Mark Ibrahim Zeynep Akata Pascal Vincent Diane Bouchacourt CML OOD CoGe 106 34 0 13 Oct 2022
Unsupervised Learning of Equivariant Structure from Sequences Takeru Miyato Masanori Koyama Kenji Fukumizu 86 12 0 12 Oct 2022
Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder Yingji Zhang Danilo S. Carvalho Ian Pratt-Hartmann 80 4 0 12 Oct 2022