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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

50 / 790 papers shown

Title
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 152 3 0 24 Aug 2023
Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer Rebeca Vétil Clément Abi-Nader Alexandre Bône M. Vullierme Marc-Michel Rohé Pietro Gori Isabelle Bloch MedIm 60 1 0 22 Aug 2023
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models Preben Ness D. Marijan Sunanda Bose CML 59 0 0 21 Aug 2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models Zhizhong Wang Lei Zhao Wei Xing DiffM 102 137 0 15 Aug 2023
ETHER: Aligning Emergent Communication for Hindsight Experience Replay Kevin Denamganai Daniel Hernández Ozan Vardal S. Missaoui James Alfred Walker 51 0 0 28 Jul 2023
Learning Disentangled Discrete Representations David Friede Christian Reimers Heiner Stuckenschmidt Mathias Niepert CoGe OCL OOD DRL 79 0 0 26 Jul 2023
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains Maxime Di Folco Cosmin I. Bercea Julia A. Schnabel 57 0 0 24 Jul 2023
Grounded Object Centric Learning Avinash Kori Francesco Locatello Fabio De Sousa Ribeiro Francesca Toni Ben Glocker OCL 84 12 0 18 Jul 2023
Evaluating unsupervised disentangled representation learning for genomic discovery and disease risk prediction T. Yun BDL DRL 24 0 0 17 Jul 2023
Reinforced Disentanglement for Face Swapping without Skip Connection Xiaohang Ren Xingyu Chen Pengfei Yao Harry Shum Baoyuan Wang CVBM 75 9 0 16 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 105 21 0 15 Jul 2023
Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems Fan Shi Bin Li Xiangyang Xue LRM 80 10 0 15 Jul 2023
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones Robin Louiset Edouard Duchesnay Antoine Grigis Benoit Dufumier Pietro Gori DRL 129 5 0 12 Jul 2023
A Causal Ordering Prior for Unsupervised Representation Learning Avinash Kori Pedro Sanchez Konstantinos Vilouras Ben Glocker Sotirios A. Tsaftaris BDL SSL CML 113 1 0 11 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 86 40 0 27 Jun 2023
Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs Navindu Leelarathna Andrei Margeloiu M. Jamnik Nikola Simidjievski DRL 73 1 0 27 Jun 2023
Modularity Trumps Invariance for Compositional Robustness I. Mason Anirban Sarkar Tomotake Sasaki Xavier Boix OOD 91 1 0 15 Jun 2023
Learning World Models with Identifiable Factorization Yu-Ren Liu Erdun Gao Zhengmao Zhu Hong Tian Biwei Huang Yang Yu Kun Zhang CML OffRL 86 13 0 11 Jun 2023
Contrastive Representation Disentanglement for Clustering Fei Ding Dan Zhang Yin Yang Venkat Krovi Feng Luo SSL DRL 43 0 0 08 Jun 2023
A Comprehensive Survey on Generative Diffusion Models for Structured Data Heejoon Koo To Eun Kim DiffM MedIm 69 7 0 07 Jun 2023
Manga Rescreening with Interpretable Screentone Representation M. Xie Chengze Li T. Wong 32 0 0 07 Jun 2023
Lifting Architectural Constraints of Injective Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Leandro Zimmerman Ullrich Kothe TPM AI4CE 104 10 0 02 Jun 2023
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization Tao Yang Yuwang Wang Cuiling Lan Yan Lu Nanning Zheng OCL CoGe DRL 58 7 0 29 May 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 88 8 0 29 May 2023
Disentanglement via Latent Quantization Kyle Hsu W. Dorrell James C. R. Whittington Jiajun Wu Chelsea Finn DRL 163 27 0 28 May 2023
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs Kaiwen Xu Kazuto Fukuchi Youhei Akimoto Jun Sakuma 93 3 0 27 May 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation Ilana D Naiman Nimrod Berman Omri Azencot DRL 99 6 0 25 May 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 74 19 0 23 May 2023
Evaluating Pragmatic Abilities of Image Captioners on A3DS Polina Tsvilodub Michael Franke EGVM 117 4 0 22 May 2023
Model Debiasing via Gradient-based Explanation on Representation Jindi Zhang Luning Wang Dan Su Yongxiang Huang Caleb Chen Cao Lei Chen FaML CML 48 2 0 20 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang Masashi Sugiyama 100 1 0 19 May 2023
ProtoVAE: Prototypical Networks for Unsupervised Disentanglement Vaishnavi Patil Matthew Evanusa Joseph Jaja BDL DRL 61 0 0 16 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learning Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier 102 13 0 05 May 2023
Representation Learning via Manifold Flattening and Reconstruction Michael Psenka Druv Pai Vishal Raman S. Sastry Yi Ma 75 10 0 02 May 2023
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks Yingji Zhang Danilo S. Carvalho André Freitas DRL 104 6 0 02 May 2023
Finding Neurons in a Haystack: Case Studies with Sparse Probing Wes Gurnee Neel Nanda Matthew Pauly Katherine Harvey Dmitrii Troitskii Dimitris Bertsimas MILM 282 218 0 02 May 2023
Visual Referential Games Further the Emergence of Disentangled Representations Kevin Denamganai S. Missaoui James Alfred Walker OCL CoGe 69 5 0 27 Apr 2023
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires Melanie F. Pradier Niranjani Prasad Paidamoyo Chapfuwa Sahra Ghalebikesabi Maximilian Ilse ... R. Elyanow Javier Zazo Javier González J. Greissl Edward Meeds 62 8 0 26 Apr 2023
Latent Traversals in Generative Models as Potential Flows Yue Song Andy Keller N. Sebe Max Welling DRL 119 11 0 25 Apr 2023
Learning Geometry-aware Representations by Sketching Hyun-Dong Lee Inwoo Hwang Hyun-Young Go Won-Seok Choi Kibeom Kim Byoung-Tak Zhang SSL 62 5 0 17 Apr 2023
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation Siyu Wang Xiaocong Chen Quan.Z Sheng Yihong Zhang Lina Yao CML 51 13 0 17 Apr 2023
Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary Jiong Wang Zhou Zhao Leilei Gan CoGe CVBM 47 1 0 13 Apr 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 76 2 0 08 Apr 2023
Correcting Flaws in Common Disentanglement Metrics Louis Mahon Lei Shah Thomas Lukasiewicz CoGe DRL 73 3 0 05 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 109 23 0 04 Apr 2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning Pourya Shamsolmoali Masoumeh Zareapoor Huiyu Zhou Dacheng Tao Xuelong Li DRL 82 14 0 03 Apr 2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Nimrod Berman Ilana D Naiman Omri Azencot CoGe 89 24 0 30 Mar 2023
SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA Pan Xiao Peijie Qiu Sungmin Ha Abdalla Bani Shuang Zhou Aristeidis Sotiras DRL 50 4 0 29 Mar 2023
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning Aapo Hyvarinen Ilyes Khemakhem H. Morioka CML OOD 120 37 0 29 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 54 1 0 24 Mar 2023