Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization

9 June 2022

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

12 / 12 papers shown

Title
COPA: Comparing the Incomparable to Explore the Pareto Front Adrián Javaloy Antonio Vergari Isabel Valera 62 0 0 18 Mar 2025
Enhance the Robustness of Text-Centric Multimodal Alignments Ting-Yu Yen Yun-Da Tsai Keng-Te Liao Shou-De Lin 23 2 0 06 Jul 2024
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions Huajun Zhou Fengtao Zhou Chenyu Zhao Yingxue Xu Luyang Luo Hao Chen 30 4 0 28 Jun 2024
Multi-task View Synthesis with Neural Radiance Fields Shuhong Zheng Zhipeng Bao Martial Hebert Yu-Xiong Wang 15 4 0 29 Sep 2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 8 0 0 01 Sep 2023
Multi-modal Latent Diffusion Mustapha Bounoua Giulio Franzese Pietro Michiardi DiffM 14 12 0 07 Jun 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 30 1 0 19 May 2023
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 32 29 0 11 Mar 2023
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders Oskar Kviman Ricky Molén A. Hotti Semih Kurt Victor Elvira J. Lagergren 11 11 0 30 Sep 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 38 82 0 07 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 14 17 0 22 Aug 2022
Discriminative Multimodal Learning via Conditional Priors in Generative Models R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen GAN 14 5 0 09 Oct 2021