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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

50 / 790 papers shown

Title
Transferring disentangled representations: bridging the gap between synthetic and real images Jacopo Dapueto Nicoletta Noceti Francesca Odone OOD 107 0 0 26 Sep 2024
Disentanglement with Factor Quantized Variational Autoencoders Gulcin Baykal M. Kandemir Gözde B. Ünal CoGe DRL 84 0 0 23 Sep 2024
Control+Shift: Generating Controllable Distribution Shifts Roy Friedman Rhea Chowers 96 0 0 12 Sep 2024
On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspective Li Wang Wei Huang DRL 99 0 0 09 Sep 2024
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation Yin-Jyun Luo K. Cheuk Woosung Choi Toshimitsu Uesaka Keisuke Toyama ... Chieh-Hsin Lai Yuhta Takida Wei-Hsiang Liao Simon Dixon Yuki Mitsufuji CoGe 106 2 0 20 Aug 2024
On the KL-Divergence-based Robust Satisficing Model Haojie Yan Minglong Zhou Jiayi Guo 67 0 0 17 Aug 2024
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables Yang Xie Ziqi Xu Debo Cheng Jiuyong Li Lin Liu Yinghao Zhang Zaiwen Feng CML BDL 63 0 0 13 Aug 2024
Defining and Measuring Disentanglement for non-Independent Factors of Variation Antonio Almudévar Alfonso Ortega Luis Vicente A. Miguel Eduardo Lleida CoGe DRL 66 1 0 13 Aug 2024
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement Mathieu Cyrille Simon Pascal Frossard Christophe De Vleeschouwer CoGe CML 58 1 0 10 Aug 2024
A Non-negative VAE:the Generalized Gamma Belief Network Zhibin Duan Tiansheng Wen Muyao Wang Bo Chen Mingyuan Zhou BDL 106 2 0 06 Aug 2024
CoLiDR: Concept Learning using Aggregated Disentangled Representations Sanchit Sinha Guangzhi Xiong Aidong Zhang 102 3 0 27 Jul 2024
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models Baao Xie Qiuyu Chen Yunnan Wang Zequn Zhang Xin Jin Wenjun Zeng OffRL 75 4 0 26 Jul 2024
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models Jaehoon Hahm Junho Lee Sunghyun Kim Joonseok Lee DiffM 78 11 0 16 Jul 2024
Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis Cécile Trottet Manuel Schürch Ahmed Allam Imon Barua L. Petelytska ... Mislav Radic Oliver Distler A. Hoffmann-Vold Michael Krauthammer Eustar collaborators MedIm 111 0 0 16 Jul 2024
Measuring Orthogonality in Representations of Generative Models Robin Geyer Alessandro Torcinovich João B. S. Carvalho Alexander Meyer Joachim M. Buhmann CML 80 0 0 04 Jul 2024
Uniform Transformation: Refining Latent Representation in Variational Autoencoders Ye Shi C. S. G. Lee OOD DRL 109 0 0 02 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 101 2 0 30 Jun 2024
Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs S. Jeong Mingwei Li Matthew Berger Shusen Liu 121 0 0 28 Jun 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space Core Francisco Park Maya Okawa Andrew Lee Ekdeep Singh Lubana Hidenori Tanaka 110 21 0 27 Jun 2024
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element Nimrod Berman Ilan Naiman Idan Arbiv Gal Fadlon Omri Azencot CoGe 86 4 0 26 Jun 2024
CAT: Interpretable Concept-based Taylor Additive Models Viet Duong Qiong Wu Zhengyi Zhou Hongjue Zhao Chenxiang Luo Eric Zavesky Huaxiu Yao Huajie Shao FAtt 73 2 0 25 Jun 2024
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention Avinash Kori Francesco Locatello Ainkaran Santhirasekaram Francesca Toni Ben Glocker Fabio De Sousa Ribeiro OCL 102 4 0 11 Jun 2024
Self-Distilled Disentangled Learning for Counterfactual Prediction Xinshu Li Mingming Gong Lina Yao CML 77 2 0 09 Jun 2024
A Survey of Fragile Model Watermarking Zhenzhe Gao Yu Cheng Zhaoxia Yin AAML 30 0 0 07 Jun 2024
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain Jun Liu Jiantao Zhou Jiandian Zeng Jinyu Tian Zheng Li 82 0 0 05 Jun 2024
How Video Meetings Change Your Expression Sumit Sarin Utkarsh Mall Purva Tendulkar Carl Vondrick CVBM 97 0 0 03 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 136 2 0 03 Jun 2024
From Neurons to Neutrons: A Case Study in Interpretability O. Kitouni Niklas Nolte Víctor Samuel Pérez-Díaz S. Trifinopoulos Mike Williams MILM 62 1 0 27 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 129 2 0 27 May 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 157 0 0 27 May 2024
Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL Manuel S. Nunes Atabak Dehban Y. Demiris J. Santos-Victor 97 0 0 27 May 2024
On the Identification of Temporally Causal Representation with Instantaneous Dependence Zijian Li Yifan Shen Kaitao Zheng Ruichu Cai Xiangchen Song Biwei Huang Zhengmao Zhu Guan-Hong Chen Kun Zhang CML 106 7 0 24 May 2024
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks Zhangkai Wu Xuhui Fan Jin Li Zhilin Zhao Hui Chen LongBing Cao 81 2 0 24 May 2024
The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks Lucius Bushnaq Stefan Heimersheim Nicholas Goldowsky-Dill Dan Braun Jake Mendel Kaarel Hänni Avery Griffin Jörn Stöhler Magdalena Wache Marius Hobbhahn FAtt 105 3 0 17 May 2024
Fair Graph Representation Learning via Sensitive Attribute Disentanglement Yuchang Zhu Jintang Li Zibin Zheng Liang Chen 57 3 0 11 May 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning Freddie Bickford-Smith Adam Foster Tom Rainforth 110 4 0 26 Apr 2024
Improving Dictionary Learning with Gated Sparse Autoencoders Senthooran Rajamanoharan Arthur Conmy Lewis Smith Tom Lieberum Vikrant Varma János Kramár Rohin Shah Neel Nanda RALM 82 94 0 24 Apr 2024
Joint Quality Assessment and Example-Guided Image Processing by Disentangling Picture Appearance from Content Abhinau K. Venkataramanan Cosmin Stejerean Ioannis Katsavounidis Hassene Tmar A. Bovik DRL 113 1 0 20 Apr 2024
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning Kyle Hsu Jubayer Ibn Hamid Kaylee Burns Chelsea Finn Jiajun Wu CML 62 6 0 16 Apr 2024
MK-SGN: A Spiking Graph Convolutional Network with Multimodal Fusion and Knowledge Distillation for Skeleton-based Action Recognition Naichuan Zheng Hailun Xia Zeyu Liang 83 1 0 16 Apr 2024
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning Jakaria Rabbi Johannes Kiechle Christian Beaulieu Nilanjan Ray Dana Cobzas 79 0 0 31 Mar 2024
ShapeFusion: A 3D diffusion model for localized shape editing Rolandos Alexandros Potamias Michail Tarasiou Stylianos Ploumpis Stefanos Zafeiriou 59 3 0 28 Mar 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks Can Rager Eric J. Michaud Yonatan Belinkov David Bau Aaron Mueller 173 159 0 28 Mar 2024
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification Eva Pachetti Sotirios A. Tsaftaris Sara Colantonio 110 2 0 26 Mar 2024
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings Hanane Kteich Na Li Usashi Chatterjee Zied Bouraoui Steven Schockaert 72 0 0 25 Mar 2024
Graphs Generalization under Distribution Shifts Qin Tian Wenjun Wang Chen Zhao Minglai Shao Wang Zhang Dong Li OOD 93 2 0 25 Mar 2024
Predictive, scalable and interpretable knowledge tracing on structured domains Hanqi Zhou Robert Bamler Charley M. Wu Álvaro Tejero-Cantero AI4Ed 65 10 0 19 Mar 2024
Mitigate Target-level Insensitivity of Infrared Small Target Detection via Posterior Distribution Modeling Haoqing Li Jinfu Yang Yifei Xu Runshi Wang 54 1 0 13 Mar 2024
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors Jonghyun Lee Dahuin Jung Saehyung Lee Junsung Park Juhyeon Shin Uiwon Hwang Sungroh Yoon TTA AAML 71 42 0 12 Mar 2024
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery Jingru Zhu Ya Guo Geng Sun Liang Hong Jie Chen 74 3 0 06 Mar 2024