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Mitigating Modality Collapse in Multimodal VAEs via Impartial
  Optimization

Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization

International Conference on Machine Learning (ICML), 2022
9 June 2022
Adrián Javaloy
Maryam Meghdadi
Isabel Valera
ArXiv (abs)PDFHTML

Papers citing "Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization"

16 / 16 papers shown
Balancing Multi-modal Sensor Learning via Multi-objective Optimization
Balancing Multi-modal Sensor Learning via Multi-objective Optimization
Heshan Devaka Fernando
Parikshit Ram
Yi Zhou
Soham Dan
Horst Samulowitz
Nathalie Baracaldo
Tianyi Chen
280
1
0
10 Nov 2025
Towards Relaxed Multimodal Inputs for Gait-based Parkinson's Disease Assessment
Towards Relaxed Multimodal Inputs for Gait-based Parkinson's Disease Assessment
Minlin Zeng
Z. Zhou
Yang Qiu
Martin J. McKeown
Zhiqi Shen
192
0
0
17 Oct 2025
Robust Multi-Omics Integration from Incomplete Modalities Significantly Improves Prediction of Alzheimer's Disease
Robust Multi-Omics Integration from Incomplete Modalities Significantly Improves Prediction of Alzheimer's Disease
Sungjoon Park
Kyungwook Lee
Soorin Yim
Doyeong Hwang
Dongyun Kim
...
Amy Dunn
Daniel Gatti
Elissa Chesler
Kristen O'Connell
Kiyoung Kim
130
0
0
25 Sep 2025
A Closer Look at Multimodal Representation Collapse
A Closer Look at Multimodal Representation Collapse
Abhra Chaudhuri
Anjan Dutta
Tu Bui
Serban Georgescu
279
17
0
28 May 2025
Enhance the Robustness of Text-Centric Multimodal Alignments
Enhance the Robustness of Text-Centric Multimodal Alignments
Ting-Yu Yen
Yun-Da Tsai
Keng-Te Liao
Shou-De Lin
320
4
0
06 Jul 2024
Multimodal Data Integration for Precision Oncology: Challenges and
  Future Directions
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
Huajun Zhou
Fengtao Zhou
Chenyu Zhao
Yingxue Xu
Luyang Luo
Hao Chen
363
26
0
28 Jun 2024
Multi-task View Synthesis with Neural Radiance Fields
Multi-task View Synthesis with Neural Radiance FieldsIEEE International Conference on Computer Vision (ICCV), 2023
Shuhong Zheng
Zhipeng Bao
Martial Hebert
Yu Wang
277
6
0
29 Sep 2023
Learning multi-modal generative models with permutation-invariant
  encoders and tighter variational bounds
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds
Marcel Hirt
Domenico Campolo
Victoria Leong
Juan-Pablo Ortega
DRL
455
0
0
01 Sep 2023
Multi-modal Latent Diffusion
Multi-modal Latent DiffusionEntropy (Entropy), 2023
Mustapha Bounoua
Giulio Franzese
Pietro Michiardi
DiffM
301
17
0
07 Jun 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing
  Flows and Correlation Analysis
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis
Agathe Senellart
Clément Chadebec
S. Allassonnière
DRL
204
5
0
19 May 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural
  Networks: A Review
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review
Asim Waqas
Aakash Tripathi
Ravichandran Ramachandran
Paul Stewart
Ghulam Rasool
AI4CE
523
102
0
11 Mar 2023
Cooperation in the Latent Space: The Benefits of Adding Mixture
  Components in Variational Autoencoders
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational AutoencodersInternational Conference on Machine Learning (ICML), 2022
Oskar Kviman
Ricky Molén
A. Hotti
Semih Kurt
Victor Elvira
J. Lagergren
377
16
0
30 Sep 2022
Multimodal learning with graphs
Multimodal learning with graphsNature Machine Intelligence (Nat. Mach. Intell.), 2022
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
709
154
0
07 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDLVLM
366
18
0
22 Aug 2022
(Im)possibility of Collective Intelligence
(Im)possibility of Collective Intelligence
Krikamol Muandet
607
7
0
05 Jun 2022
Discriminative Multimodal Learning via Conditional Priors in Generative
  Models
Discriminative Multimodal Learning via Conditional Priors in Generative ModelsNeural Networks (NN), 2021
R. A. Mancisidor
Michael C. Kampffmeyer
K. Aas
Robert Jenssen
GAN
333
7
0
09 Oct 2021
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