Towards a Definition of Disentangled Representations

5 December 2018

Danilo Jimenez Rezende

Papers citing "Towards a Definition of Disentangled Representations"

50 / 117 papers shown

Title
Contextures: Representations from Contexts Runtian Zhai Kai Yang Che-Ping Tsai Burak Varici Zico Kolter Pradeep Ravikumar 161 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 176 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 77 1 0 26 Mar 2025
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model Yuxuan Cai Xinbing Wang Satoshi Tsutsui Winnie Pang Bihan Wen 65 0 0 03 Feb 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 92 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 36 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 32 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 53 2 0 18 Jun 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations GuanWen Qiu Da Kuang Surbhi Goel 27 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 34 0 0 17 Jan 2024
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries Alonso Urbano David W. Romero 35 2 0 19 Dec 2023
Towards Equipping Transformer with the Ability of Systematic Compositionality Chen Huang Peixin Qin Wenqiang Lei Jiancheng Lv 27 1 0 12 Dec 2023
DVANet: Disentangling View and Action Features for Multi-View Action Recognition Nyle Siddiqui Praveen Tirupattur Mubarak Shah ViT 46 18 0 10 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 36 0 0 13 Oct 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin Walters Rose Yu 35 12 0 29 Sep 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 60 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 27 124 0 15 Aug 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 42 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 51 112 0 22 May 2023
A Category-theoretical Meta-analysis of Definitions of Disentanglement Yivan Zhang Masashi Sugiyama 38 3 0 11 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao D. Meger Doina Precup 30 2 0 09 May 2023
Correcting Flaws in Common Disentanglement Metrics Louis Mahon Lei Shah Thomas Lukasiewicz CoGe DRL 39 3 0 05 Apr 2023
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images Ankit V. Manerikar A. Kak VLM 29 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 33 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 32 7 0 20 Feb 2023
Learning Interpretable Low-dimensional Representation via Physical Symmetry Xuanjie Liu Daniel Y. Chin Yichen Huang Gus Xia 26 3 0 05 Feb 2023
Open Problems and Modern Solutions for Deep Reinforcement Learning Weiqin Chen OffRL 18 0 0 05 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 31 13 0 01 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
Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN Outspeeds Data Augmentation by Smaller Sample -- Application in Gomoku Reinforcement Learning Chi-Hang Suen Eduardo Alonso 13 0 0 11 Jan 2023
Linear Classification of Neural Manifolds with Correlated Variability Albert J. Wakhloo Tamara J. Sussman SueYeon Chung 29 10 0 27 Nov 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 43 1 0 22 Nov 2022
Disentangled Representation Learning Xin Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 37 78 0 21 Nov 2022
Disentangling Variational Autoencoders Rafael Pastrana CoGe DRL 27 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 31 5 0 11 Nov 2022
Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors Yilin Zhuang Zhuobin Zhou Burak Alakent Mehmet Mercangöz DRL 18 0 0 11 Nov 2022
Disentangled (Un)Controllable Features Jacob E. Kooi Mark Hoogendoorn Vincent François-Lavet DRL 27 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 23 1 0 19 Oct 2022
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning Tankred Saanum Eric Schulz 26 1 0 29 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden D. Meger Doina Precup 33 18 0 15 Sep 2022
On a Built-in Conflict between Deep Learning and Systematic Generalization Yuanpeng Li OOD 45 0 0 24 Aug 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model Taisuke Kobayashi Ryoma Watanuki DRL 29 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 35 18 0 04 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 42 1 0 03 Aug 2022
Equivariant Representation Learning via Class-Pose Decomposition Giovanni Luca Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 35 14 0 07 Jul 2022
Deep Learning and Synthetic Media Raphaël Millière 26 18 0 11 May 2022