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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

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Title
Disentangling Representations of Text by Masking Transformers Xiongyi Zhang Jan-Willem van de Meent Byron C. Wallace DRL 64 21 0 14 Apr 2021
Where and What? Examining Interpretable Disentangled Representations Xinqi Zhu Chang Xu Dacheng Tao FAtt DRL 100 39 0 07 Apr 2021
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis Y. Zhu Ruiqi Gao Siyuan Huang Song-Chun Zhu Ying Nian Wu SSL 113 10 0 04 Apr 2021
Unsupervised Disentanglement of Linear-Encoded Facial Semantics Yutong Zheng Yu-Kai Huang R. Tao Zhiqiang Shen Marios Savvides CVBM DRL 59 12 0 30 Mar 2021
Evaluation of Correctness in Unsupervised Many-to-Many Image Translation D. Bashkirova Ben Usman Kate Saenko 60 4 0 29 Mar 2021
Explaining Representation by Mutual Information Li Gu SSL FAtt 81 0 0 28 Mar 2021
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval Kazuma Kobayashi Ryuichiro Hataya Y. Kurose M. Miyake Masamichi Takahashi Akiko Nakagawa Tatsuya Harada Ryuji Hamamoto MedIm 93 19 0 23 Mar 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors Fan Shi Bin Li Xiangyang Xue LRM 70 9 0 22 Mar 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 245 677 0 20 Mar 2021
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images Aadhithya Sankar Matthias Keicher R. Eisawy Abhijeet Parida Franz MJ Pfister Seong Tae Kim Nassir Navab OOD DRL MedIm 74 8 0 19 Mar 2021
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning Siyang Yuan Pengyu Cheng Ruiyi Zhang Weituo Hao Zhe Gan Lawrence Carin DRL 66 61 0 17 Mar 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling DJordje Miladinović Aleksandar Stanić Stefan Bauer Jürgen Schmidhuber J. M. Buhmann DRL 76 9 0 16 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network Lili Pan Peijun Tang Zhiyong Chen Zenglin Xu GAN DRL 64 5 0 05 Mar 2021
Learning disentangled representations via product manifold projection Marco Fumero Luca Cosmo Simone Melzi Emanuele Rodolà CoGe DRL 85 23 0 02 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 160 322 0 22 Feb 2021
Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement Xuanchi Ren Tao Yang Yuwang Wang Wenjun Zeng CoGe DRL 77 8 0 21 Feb 2021
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View Xuanchi Ren Tao Yang Yuwang Wang W. Zeng CoGe OCL DRL 105 40 0 21 Feb 2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework Tao Yang Xuanchi Ren Yuwang Wang W. Zeng Nanning Zheng CoGe DRL 75 30 0 20 Feb 2021
Demystifying Inductive Biases for $β$ -VAE Based Architectures Dominik Zietlow Michal Rolínek Georg Martius CoGe DRL CML 36 8 0 12 Feb 2021
Disentangled Representations from Non-Disentangled Models Valentin Khrulkov L. Mirvakhabova Ivan Oseledets Artem Babenko OCL DRL CoGe 59 15 0 11 Feb 2021
On Disentanglement in Gaussian Process Variational Autoencoders Simon Bing Vincent Fortuin Gunnar Rätsch CML CoGe BDL DRL 81 9 0 10 Feb 2021
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement A. Ross Finale Doshi-Velez DRL 84 13 0 09 Feb 2021
DEFT: Distilling Entangled Factors by Preventing Information Diffusion Jiantao Wu Lin Wang Bo Yang Fanqi Li Chunxiuzi Liu Jin Zhou 44 2 0 08 Feb 2021
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders Harshana Habaragamuwa Y. Oishi Kenichi Tanaka 98 9 0 05 Feb 2021
The Pitfall of More Powerful Autoencoders in Lidar-Based Navigation Christoph Gebauer Maren Bennewitz SSL 3DV 3DPC 38 0 0 03 Feb 2021
Evaluating the Interpretability of Generative Models by Interactive Reconstruction A. Ross Nina Chen Elisa Zhao Hang Elena L. Glassman Finale Doshi-Velez 158 49 0 02 Feb 2021
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE Sina Hajimiri Aryo Lotfi M. Baghshah DRL 39 9 0 01 Feb 2021
Video Reenactment as Inductive Bias for Content-Motion Disentanglement Juan Felipe Hernandez Albarracin Adín Ramirez Rivera 92 2 0 30 Jan 2021
Image-to-Image Translation: Methods and Applications Yingxue Pang Jianxin Lin Tao Qin Zhibo Chen VLM 111 267 0 21 Jan 2021
Blocked and Hierarchical Disentangled Representation From Information Theory Perspective Ziwen Liu Mingqiang Li Congying Han DRL 20 1 0 21 Jan 2021
Semantics Disentangling for Generalized Zero-Shot Learning Zhi Chen Yadan Luo Ruihong Qiu Sen Wang Zi Huang Jingjing Li Zheng Zhang 151 101 0 20 Jan 2021
Disentangled Recurrent Wasserstein Autoencoder Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 81 33 0 19 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 85 52 0 14 Jan 2021
Evaluating Disentanglement of Structured Representations Raphaël Dang-Nhu OCL 154 5 0 11 Jan 2021
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification Jiawei Ren Xiao Ma Chen Xu Haiyu Zhao Shuai Yi BDL 56 4 0 06 Jan 2021
Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations Mihee Lee Vladimir Pavlovic DRL 39 13 0 23 Dec 2020
Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition Zijian Li Di Lv Zijian Li Ruichu Cai Wen Wen Boyan Xu 49 12 0 22 Dec 2020
ReferentialGym: A Nomenclature and Framework for Language Emergence & Grounding in (Visual) Referential Games Kevin Denamganai James Alfred Walker 53 7 0 17 Dec 2020
Measuring Disentanglement: A Review of Metrics M. Carbonneau Julian Zaïdi Jonathan Boilard G. Gagnon CoGe DRL 89 85 0 16 Dec 2020
Multi-type Disentanglement without Adversarial Training Lei Sha Thomas Lukasiewicz DRL 119 12 0 16 Dec 2020
Odd-One-Out Representation Learning Salman Mohammadi Anders Kirk Uhrenholt B. S. Jensen SSL OOD DRL 13 2 0 14 Dec 2020
Disentangled Information Bottleneck Ziqi Pan Li Niu Jianfu Zhang Liqing Zhang 73 37 0 14 Dec 2020
Disentangling images with Lie group transformations and sparse coding Ho Yin Chau Frank Qiu Yubei Chen Bruno A. Olshausen 57 13 0 11 Dec 2020
Variational Interaction Information Maximization for Cross-domain Disentanglement HyeongJoo Hwang Geon-hyeong Kim Seunghoon Hong Kee-Eung Kim BDL DRL 57 50 0 08 Dec 2020
Understanding Failures of Deep Networks via Robust Feature Extraction Sahil Singla Besmira Nushi S. Shah Ece Kamar Eric Horvitz FAtt 89 84 0 03 Dec 2020
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach Minyoung Kim Ricardo Guerrero Vladimir Pavlovic CoGe CML 24 1 0 01 Dec 2020
Unpaired Image-to-Image Translation via Latent Energy Transport Yang Zhao Changyou Chen 80 28 0 01 Dec 2020
Inductive Biases for Deep Learning of Higher-Level Cognition Anirudh Goyal Yoshua Bengio AI4CE 118 366 0 30 Nov 2020
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints F. Tonin Panagiotis Patrinos Johan A. K. Suykens DRL OOD 47 16 0 25 Nov 2020
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder Hyemi Kim Seungjae Shin Joonho Jang Kyungwoo Song Weonyoung Joo Wanmo Kang Il-Chul Moon BDL CML 87 57 0 24 Nov 2020