Towards a Definition of Disentangled Representations

5 December 2018

Danilo Jimenez Rezende

Papers citing "Towards a Definition of Disentangled Representations"

50 / 92 papers shown

Title
Contextures: Representations from Contexts Runtian Zhai Kai Yang Che-Ping Tsai Burak Varici Zico Kolter Pradeep Ravikumar 110 0 0 02 May 2025
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Nicola Debole Pietro Barbiero Francesco Giannini Andrea Passerini Stefano Teso Emanuele Marconato 128 0 0 28 Apr 2025
Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data Masoumeh Sharafi Emma Ollivier Muhammad Osama Zeeshan Soufiane Belharbi M. Pedersoli A. L. Koerich Simon L Bacon EricGranger 69 1 0 26 Mar 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 69 1 0 03 Jan 2025
Cross-Entropy Is All You Need To Invert the Data Generating Process Patrik Reizinger Alice Bizeul Attila Juhos Julia E. Vogt Randall Balestriero Wieland Brendel David Klindt SSL OOD BDL DRL 102 3 0 29 Oct 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
Next state prediction gives rise to entangled, yet compositional representations of objects Tankred Saanum Luca M. Schulze Buschoff Peter Dayan Eric Schulz OCL CoGe OOD 30 1 0 07 Oct 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction Yuncheng Hua Yujin Huang Shuo Huang Tao Feng Lizhen Qu Chris Bain R. Bassed Gholamreza Haffari CML OOD 50 2 0 18 Jun 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations GuanWen Qiu Da Kuang Surbhi Goel 25 8 0 05 Mar 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 3 0 29 Feb 2024
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder Heeseung Jung Jaehyoung Jeong Kangil Kim CoGe 26 0 0 17 Jan 2024
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries Alonso Urbano David W. Romero 22 1 0 19 Dec 2023
Towards Equipping Transformer with the Ability of Systematic Compositionality Chen Huang Peixin Qin Wenqiang Lei Jiancheng Lv 21 1 0 12 Dec 2023
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning Geri Skenderi Luigi Capogrosso Andrea Toaiari Matteo Denitto Franco Fummi Simone Melzi Marco Cristani OOD 26 0 0 13 Oct 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 55 2 0 24 Aug 2023
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models Preben Ness D. Marijan Sunanda Bose CML 29 0 0 21 Aug 2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models Zhizhong Wang Lei Zhao Wei Xing DiffM 27 120 0 15 Aug 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 27 8 0 29 May 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models Guillermo Ortiz-Jiménez Alessandro Favero P. Frossard MoMe 39 103 0 22 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao D. Meger Doina Precup 25 2 0 09 May 2023
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images Ankit V. Manerikar A. Kak VLM 16 2 0 10 Mar 2023
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models Matthew Trager Pramuditha Perera L. Zancato Alessandro Achille Parminder Bhatia Stefano Soatto CoGe 19 30 0 28 Feb 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 19 7 0 20 Feb 2023
Learning Interpretable Low-dimensional Representation via Physical Symmetry Xuanjie Liu Daniel Y. Chin Yichen Huang Gus Xia 24 3 0 05 Feb 2023
Open Problems and Modern Solutions for Deep Reinforcement Learning Weiqin Chen OffRL 11 0 0 05 Feb 2023
Equivariant Representation Learning in the Presence of Stabilizers Luis Armando ∗. GiovanniLucaMarchetti Danica Kragic D. Jarnikov Mike Holenderski 29 0 0 12 Jan 2023
Linear Classification of Neural Manifolds with Correlated Variability Albert J. Wakhloo Tamara J. Sussman SueYeon Chung 16 10 0 27 Nov 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 29 1 0 22 Nov 2022
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 32 77 0 21 Nov 2022
Disentangling Variational Autoencoders Rafael Pastrana CoGe DRL 17 4 0 14 Nov 2022
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention Hao Zheng Hui Lin Rong Zhao Luping Shi 23 5 0 11 Nov 2022
Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors Yilin Zhuang Zhuobin Zhou Burak Alakent Mehmet Mercangöz DRL 16 0 0 11 Nov 2022
Disentangled (Un)Controllable Features Jacob E. Kooi Mark Hoogendoorn Vincent François-Lavet DRL 19 0 0 31 Oct 2022
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable? Kevin Zhang Zhiqiang Shen 20 8 0 20 Oct 2022
DOT-VAE: Disentangling One Factor at a Time Vaishnavi Patil Matthew Evanusa J. JáJá CoGe DRL CML 13 1 0 19 Oct 2022
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning Tankred Saanum Eric Schulz 18 1 0 29 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden D. Meger Doina Precup 31 18 0 15 Sep 2022
On a Built-in Conflict between Deep Learning and Systematic Generalization Yuanpeng Li OOD 34 0 0 24 Aug 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model Taisuke Kobayashi Ryoma Watanuki DRL 16 6 0 08 Aug 2022
Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics Renjie Xie Wei Xu Jiabao Yu A. Hu Derrick Wing Kwan Ng A. L. Swindlehurst 27 18 0 04 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 39 1 0 03 Aug 2022
Equivariant Representation Learning via Class-Pose Decomposition G. Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 29 14 0 07 Jul 2022
Deep Learning and Synthetic Media Raphaël Millière 18 18 0 11 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 16 48 0 01 May 2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models Ali Ghadirzadeh Petra Poklukar Karol Arndt Chelsea Finn Ville Kyrki Danica Kragic Marten Bjorkman OffRL 22 1 0 18 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 19 4 0 18 Apr 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 24 44 0 17 Mar 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation Zhuang Li Lizhen Qu Qiongkai Xu Tongtong Wu Tianyang Zhan Gholamreza Haffari CoGe UD DRL 36 4 0 27 Feb 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 20 1 0 25 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 17 1 0 10 Feb 2022