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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

50 / 790 papers shown

Title
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 92 5 0 06 Mar 2024
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning Ruiqian Nai Zixin Wen Ji Li Yuanzhi Li Yang Gao 94 2 0 01 Mar 2024
A Relational Inductive Bias for Dimensional Abstraction in Neural Networks Declan Campbell Jonathan D. Cohen NAI 73 1 0 28 Feb 2024
Separating common from salient patterns with Contrastive Representation Learning Robin Louiset Edouard Duchesnay Antoine Grigis Pietro Gori SSL DRL 107 1 0 19 Feb 2024
Learning Disentangled Audio Representations through Controlled Synthesis Yusuf Brima U. Krumnack Simone Pika Gunther Heidemann 16 2 0 16 Feb 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement Tao Yang Cuiling Lan Yan Lu Nanning Zheng DiffM 82 6 0 15 Feb 2024
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning Yuhang Liu Zhen Zhang Dong Gong Erdun Gao Biwei Huang Anton Van Den Hengel Kun Zhang Javen Qinfeng Shi Javen Qinfeng Shi 87 7 0 09 Feb 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 74 8 0 07 Feb 2024
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders Yingji Zhang Danilo S. Carvalho Marco Valentino Ian Pratt-Hartmann André Freitas DRL 107 6 0 01 Feb 2024
Double InfoGAN for Contrastive Analysis Florence Carton Robin Louiset Pietro Gori 54 3 0 31 Jan 2024
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled Shengchao Liu Chengpeng Wang Jiarui Lu Weili Nie Hanchen Wang Zhuoxinran Li Bolei Zhou Jian Tang 112 3 0 29 Jan 2024
Toward the Identifiability of Comparative Deep Generative Models Romain Lopez Jan-Christian Huetter Ehsan Hajiramezanali Jonathan Pritchard Aviv Regev 80 2 0 29 Jan 2024
Alleviating Structural Distribution Shift in Graph Anomaly Detection Yuan Gao Xiang Wang Xiangnan He Zhenguang Liu Huamin Feng Yongdong Zhang 87 65 0 25 Jan 2024
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder Heeseung Jung Jaehyoung Jeong Kangil Kim CoGe 65 0 0 17 Jan 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation Ricardo Moreira Jacopo Bono Mário Cardoso Pedro Saleiro Mário A. T. Figueiredo P. Bizarro CML 117 5 0 16 Jan 2024
The Rise of Diffusion Models in Time-Series Forecasting Caspar Meijer Lydia Y. Chen DiffM AI4TS 91 10 0 05 Jan 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners Jing Wu Suiyao Chen Qi Zhao Renat Sergazinov Chen Li ... Tianpei Xie Hanqing Guo Cheng Ji Daniel Cociorva Hakan Brunzel SSL 104 46 0 04 Jan 2024
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise Yao Rong Peizhu Qian Vaibhav Unhelkar Enkelejda Kasneci 83 0 0 19 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 70 16 0 15 Dec 2023
Adaptive Compression of the Latent Space in Variational Autoencoders G. Sejnova M. Vavrecka Karla Stepanova 50 1 0 11 Dec 2023
$t^3$ -Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence Juno Kim Jaehyuk Kwon Mincheol Cho Hyunjong Lee Joong-Ho Won 65 3 0 02 Dec 2023
Text Attribute Control via Closed-Loop Disentanglement Lei Sha Thomas Lukasiewicz DRL 85 2 0 01 Dec 2023
No Representation Rules Them All in Category Discovery S. Vaze Andrea Vedaldi Andrew Zisserman OOD 86 36 0 28 Nov 2023
Concept-free Causal Disentanglement with Variational Graph Auto-Encoder Jingyun Feng Lin Zhang Lili Yang BDL CoGe CML 112 1 0 17 Nov 2023
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts Shashank Kotyan Danilo Vasconcellos Vargas AAML 35 0 0 16 Nov 2023
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models Yeongbin Kim Gautam Singh Junyeong Park Çağlar Gülçehre Sungjin Ahn OCL VLM 111 5 0 15 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 61 4 0 13 Nov 2023
SCADI: Self-supervised Causal Disentanglement in Latent Variable Models Heejeong Nam CML 35 1 0 11 Nov 2023
Learning Disentangled Speech Representations Yusuf Brima U. Krumnack Simone Pika Gunther Heidemann CoGe DRL 138 3 0 04 Nov 2023
Disentangled Representation Learning with Transmitted Information Bottleneck Zhuohang Dang Minnan Luo Chengyou Jia Guangwen Dai Jihong Wang Xiao Chang Jingdong Wang Qinghua Zheng 85 4 0 03 Nov 2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space Shengzhong Liu Tomoyoshi Kimura Dongxin Liu Ruijie Wang Jinyang Li Suhas Diggavi Mani B. Srivastava Tarek Abdelzaher AI4TS 86 27 0 30 Oct 2023
Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling Hao Wang Zhi-Qi Cheng Jingdong Sun Xin Yang Xiao-Jun Wu Hongyang Chen Yan Yang 68 5 0 28 Oct 2023
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder Xiaoyu Liu Jiaxin Yuan Bang An Yuancheng Xu Yifan Yang Furong Huang CML 109 9 0 26 Oct 2023
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 122 10 0 24 Oct 2023
Improving SCGAN's Similarity Constraint and Learning a Better Disentangled Representation Iman Yazdanpanah Ali Eslamian DRL GAN 131 0 0 18 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 127 11 0 17 Oct 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task Maya Okawa Ekdeep Singh Lubana Robert P. Dick Hidenori Tanaka CoGe DiffM 117 65 0 13 Oct 2023
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning Geri Skenderi Luigi Capogrosso Andrea Toaiari Matteo Denitto Franco Fummi Simone Melzi Marco Cristani OOD 84 0 0 13 Oct 2023
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling J. Demange-Chryst François Bachoc Jérome Morio Timothé Krauth 63 2 0 13 Oct 2023
SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation Bo Pan Zhenke Liu Yifei Zhang Liang Zhao 90 2 0 11 Oct 2023
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders Gulcin Baykal M. Kandemir Gözde B. Ünal 58 13 0 09 Oct 2023
Sequential Data Generation with Groupwise Diffusion Process Sangyun Lee Gayoung Lee Hyunsung Kim Junho Kim Youngjung Uh DiffM 121 4 0 02 Oct 2023
C $^2$ VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior Zhangkai Wu LongBing Cao CoGe CML DRL 87 1 0 23 Sep 2023
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 125 3 0 22 Sep 2023
Disentangled Information Bottleneck guided Privacy-Protective JSCC for Image Transmission Lunan Sun Yang Yang Mingzhe Chen Caili Guo 56 4 0 19 Sep 2023
Privacy-Aware Joint Source-Channel Coding for image transmission based on Disentangled Information Bottleneck Lunan Sun Caili Guo Mingzhe Chen Yang Yang 59 1 0 15 Sep 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning Emanuele Marconato Andrea Passerini Stefano Teso 95 17 0 14 Sep 2023
Breaking through the learning plateaus of in-context learning in Transformer Jingwen Fu Tao Yang Yuwang Wang Yan Lu Nanning Zheng 71 3 0 12 Sep 2023
Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders Bjørnar Vassøy H. Langseth B. Kille FaML 39 4 0 29 Aug 2023
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization Aristotelis Ballas Christos Diou OOD 89 6 0 28 Aug 2023