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Learning Disentangled Joint Continuous and Discrete Representations

31 March 2018

Papers citing "Learning Disentangled Joint Continuous and Discrete Representations"

50 / 129 papers shown

Title
Disentanglement of Sources in a Multi-Stream Variational Autoencoder Veranika Boukun Jörg Lücke DRL CoGe 193 0 0 17 Oct 2025
Disentangling Score Content and Performance Style for Joint Piano Rendering and Transcription Wei Zeng Junchuan Zhao Ye Wang 72 0 0 28 Sep 2025
LatentGuard: Controllable Latent Steering for Robust Refusal of Attacks and Reliable Response Generation Huizhen Shu Xuying Li Zhuo Li LLMSV 120 0 0 24 Sep 2025
Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling Yixuan Zhang Wenxin Zhang Hua Jiang Quyu Kong Feng Zhou 56 0 0 07 Aug 2025
Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised DisentanglementACM Conference on Recommender Systems (RecSys), 2025 Y. Wang Qing Xie Zhifeng Bao Mengzi Tang Lin Li Yongjian Liu 110 1 0 23 Jul 2025
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models X. Wang Haoyang Li Zeyang Zhang Zeyang Zhang Wenwu Zhu LRM 309 1 0 28 Apr 2025
Dual Consistent Constraint via Disentangled Consistency and Complementarity for Multi-view Clustering Bo Li Jing Yun 211 1 0 07 Apr 2025
Bird Vocalization Embedding Extraction Using Self-Supervised Disentangled Representation Learning Runwu Shi Katsutoshi Itoyama K. Nakadai SSL DRL 244 1 0 31 Dec 2024
Alternatives of Unsupervised Representations of Variables on the Latent Space Alex Glushkovsky SSL BDL DRL 147 0 0 26 Oct 2024
Deep Concept Identification for Generative DesignAdvanced Engineering Informatics (AEI), 2024 Ryo Tsumoto Kentaro Yaji Yutaka Nomaguchi K. Fujita 70 1 0 26 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 250 2 0 07 Oct 2024
Rethinking Disentanglement under Dependent Factors of Variation Antonio Almudévar Alfonso Ortega DRL CoGe 270 1 0 13 Aug 2024
PECAN: Personalizing Robot Behaviors through a Learned Canonical Space Heramb Nemlekar Robert Ramirez Sanchez Dylan P. Losey 307 4 0 22 Jul 2024
Uniform Transformation: Refining Latent Representation in Variational Autoencoders Ye Shi C. S. G. Lee OOD DRL 201 0 0 02 Jul 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 192 0 0 31 Mar 2024
Rethinking Multi-view Representation Learning via Distilled Disentangling Guanzhou Ke Bo Wang Xiaoli Wang Shengfeng He 337 20 0 16 Mar 2024
Autoencoder-based General Purpose Representation Learning for Customer Embedding Jan Henrik Bertrand J. P. Gargano Laurent Mombaerts Jonathan Taws Jonathan Taws OOD 157 0 0 28 Feb 2024
Closed-Loop Unsupervised Representation Disentanglement with $β$ -VAE Distillation and Diffusion Probabilistic Feedback Xin Jin Bo Li Baao Xie Wenyao Zhang Jinming Liu Ziqiang Li Tao Yang Wenjun Zeng DRL DiffM CoGe 337 11 0 04 Feb 2024
Disentangling continuous and discrete linguistic signals in transformer-based sentence embeddings Vivi Nastase Paola Merlo 170 0 0 18 Dec 2023
Position Paper on Materials Design -- A Modern Approach Willi Großmann Sebastian Eilermann Tim Rensmeyer Artur Liebert Michael Hohmann Christian Wittke Oliver Niggemann 152 2 0 18 Dec 2023
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal ControlIEEE Access (IEEE Access), 2023 Rohit Bokade Xiaoning Jin Chris Amato 212 20 0 03 Oct 2023
Flow Factorized Representation LearningNeural Information Processing Systems (NeurIPS), 2023 Yue Song Thomas Anderson Keller Andrii Zadaianchuk Max Welling DRL OOD 294 5 0 22 Sep 2023
Learning Disentangled Discrete Representations David Friede Christian Reimers Heiner Stuckenschmidt Mathias Niepert CoGe OCL OOD DRL 160 0 0 26 Jul 2023
Triggering Dark Showers with Conditional Dual Auto-Encoders Luca Anzalone S. S. Chhibra B. Maier N. Chernyavskaya M. Pierini AI4CE 137 4 0 22 Jun 2023
Contrastive Representation Disentanglement for Clustering Fei Ding Dan Zhang Yin Yang Venkat Krovi Feng Luo SSL DRL 171 0 0 08 Jun 2023
Latent Traversals in Generative Models as Potential FlowsInternational Conference on Machine Learning (ICML), 2023 Yue Song Andy Keller Andrii Zadaianchuk Max Welling DRL 302 15 0 25 Apr 2023
Causal Disentangled Variational Auto-Encoder for Preference Understanding in RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Siyu Wang Xiaocong Chen Quan.Z Sheng Yihong Zhang Lina Yao CML 124 19 0 17 Apr 2023
Variantional autoencoder with decremental information bottleneck for disentanglementBritish Machine Vision Conference (BMVC), 2023 Jiantao Wu Shentong Mo Xiang Yang Muhammad Awais Sara Atito Xingshen Zhang Lin Wang Xiang Yang DRL 101 1 0 22 Mar 2023
Causally Disentangled Generative Variational AutoEncoderEuropean Conference on Artificial Intelligence (ECAI), 2023 SeungHwan An Kyungwoo Song Jong-June Jeon OOD CoGe DRL CML 153 7 0 23 Feb 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 131 2 0 18 Feb 2023
Learning State Transition Rules from Hidden Layers of Restricted Boltzmann Machines Koji Watanabe Katsumi Inoue AI4CE 116 1 0 07 Dec 2022
Disentangled Representation LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 472 146 0 21 Nov 2022
CNeRV: Content-adaptive Neural Representation for Visual DataBritish Machine Vision Conference (BMVC), 2022 Hao Chen M. Gwilliam Bo He Ser-Nam Lim Abhinav Shrivastava 122 33 1 18 Nov 2022
DOT-VAE: Disentangling One Factor at a TimeInternational Conference on Artificial Neural Networks (ICANN), 2022 Vaishnavi Patil Matthew Evanusa Joseph Jaja CoGe DRL CML 177 1 0 19 Oct 2022
Break The Spell Of Total Correlation In betaTCVAE Zihao Chen Qiang Li Bing Guo CML DRL 147 1 0 17 Oct 2022
Learning Disentangled Representations for Natural Language DefinitionsFindings (Findings), 2022 Danilo S. Carvalho Giangiacomo Mercatali Yingji Zhang André Freitas CoGe DRL 276 12 0 22 Sep 2022
$β$ -CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck Ming-fei Hu Jian Liu SSL 130 1 0 12 Sep 2022
DIDER: Discovering Interpretable Dynamically Evolving RelationsIEEE Robotics and Automation Letters (RA-L), 2022 Enna Sachdeva Chiho Choi 250 2 0 22 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 208 18 0 22 Aug 2022
CIGMO: Categorical invariant representations in a deep generative frameworkConference on Uncertainty in Artificial Intelligence (UAI), 2022 H. Hosoya GAN OCL 77 0 0 27 May 2022
Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net Risako Tanigawa Yasunori Ishii Kazuki Kozuka Takayoshi Yamashita 112 1 0 11 May 2022
ReCAB-VAE: Gumbel-Softmax Variational Inference Based on Analytic Divergence Sangshin Oh Seyun Um Hong-Goo Kang BDL DRL 167 2 0 09 May 2022
Learning Disentangled Representations of Negation and UncertaintyAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 J. Vasilakes Chrysoula Zerva Makoto Miwa Sophia Ananiadou SSL OOD UD CoGe DRL 136 19 0 01 Apr 2022
Tampered VAE for Improved Satellite Image Time Series Classification Xin Cai Y. Bi Peter Nicholl AI4TS 70 1 0 30 Mar 2022
Symmetry-Based Representations for Artificial and Biological General IntelligenceFrontiers in Computational Neuroscience (Front. Comput. Neurosci.), 2022 I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 221 50 0 17 Mar 2022
Tutorial on amortized optimization Brandon Amos OffRL 658 70 0 01 Feb 2022
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction Chang-You Tai Ming Li Lun-Wei Ku 113 9 0 16 Dec 2021
Self-supervised Enhancement of Latent Discovery in GANs Silpa Vadakkeeveetil Sreelatha Adarsh Kappiyath S. Sumitra 153 3 0 16 Dec 2021
Group-disentangled Representation Learning with Weakly-Supervised Regularization Linh-Tam Tran Amir Hosein Khasahmadi Aditya Sanghi Saeid Asgari Taghanaki DRL 177 2 0 23 Oct 2021
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps Nico Courts Henry Kvinge 158 6 0 13 Oct 2021