Deep Variational Canonical Correlation Analysis

11 October 2016

Papers citing "Deep Variational Canonical Correlation Analysis"

24 / 24 papers shown

Title
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders R. A. Mancisidor Robert Jenssen Shujian Yu Michael C. Kampffmeyer 27 0 0 02 May 2025
A tutorial on multi-view autoencoders using the multi-view-AE library A. L. Aguila André Altmann 54 2 0 12 Mar 2024
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses Eslam Abdelaleem I. Nemenman K. M. Martini 30 5 0 05 Oct 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 34 1 0 19 May 2023
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data Ryumei Nakada Halil Ibrahim Gulluk Zhun Deng Wenlong Ji James Zou Linjun Zhang SSL VLM 42 37 0 13 Feb 2023
Interpretability with full complexity by constraining feature information Kieran A. Murphy Danielle Bassett FAtt 35 5 0 30 Nov 2022
Multi-View Independent Component Analysis with Shared and Individual Sources T. Pandeva Patrick Forré CML 17 5 0 05 Oct 2022
A Graphical Model for Fusing Diverse Microbiome Data Mehmet Aktukmak Haonan Zhu M. Chevrette Julia Nepper S. Magesh J. Handelsman Alfred Hero 24 2 0 21 Aug 2022
Gacs-Korner Common Information Variational Autoencoder Michael Kleinman Alessandro Achille Stefano Soatto J. Kao CML DRL 32 12 0 24 May 2022
Self-Supervised Speech Representation Learning: A Review Abdel-rahman Mohamed Hung-yi Lee Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin ... Shang-Wen Li Karen Livescu Lars Maaløe Tara N. Sainath Shinji Watanabe SSL AI4TS 137 354 0 21 May 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang EDL 37 219 0 25 Apr 2022
Discriminative Multimodal Learning via Conditional Priors in Generative Models R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen GAN 30 5 0 09 Oct 2021
Trusted Multi-View Classification Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang EDL 31 165 0 03 Feb 2021
Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech Synthesis José Andrés González López Míriam González-Atienza Alejandro Gomez-Alanis J. L. Pérez-Córdoba P. Green 22 4 0 30 Dec 2020
Deep Partial Multi-View Learning Changqing Zhang Yajie Cui Zongbo Han Qiufeng Wang Huazhu Fu Q. Hu 57 220 0 12 Nov 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence Thomas M. Sutter Imant Daunhawer Julia E. Vogt 39 67 0 15 Jun 2020
Deep Tensor CCA for Multi-view Learning Hok Shing Wong L. xilinx Wang Raymond H. F. Chan T. Zeng 27 23 0 25 May 2020
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis Devamanyu Hazarika Roger Zimmermann Soujanya Poria 21 676 0 07 May 2020
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip Torr DRL 32 266 0 08 Nov 2019
ORCCA: Optimal Randomized Canonical Correlation Analysis Yinsong Wang Shahin Shahrampour 11 5 0 11 Oct 2019
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data Changde Du Changying Du Hao Wang Jinpeng Li Wei-Long Zheng Bao-Liang Lu Huiguang He 14 66 0 27 Jul 2018
Multimodal Generative Models for Scalable Weakly-Supervised Learning Mike Wu Noah D. Goodman DRL 24 378 0 14 Feb 2018
SCAN: Learning Hierarchical Compositional Visual Concepts I. Higgins Nicolas Sonnerat Loic Matthey Arka Pal Christopher P. Burgess Matko Bosnjak Murray Shanahan M. Botvinick Demis Hassabis Alexander Lerchner OCL DRL CoGe 24 51 0 11 Jul 2017
Generative Models of Visually Grounded Imagination Ramakrishna Vedantam Ian S. Fischer Jonathan Huang Kevin Patrick Murphy 25 138 0 30 May 2017