Saved in:
| Main Authors: | Mai, Sijie, Han, Shiqin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.18460 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Addressing Missing and Noisy Modalities in One Solution: Unified Modality-Quality Framework for Low-quality Multimodal Data
by: Mai, Sijie, et al.
Published: (2026)
by: Mai, Sijie, et al.
Published: (2026)
CaReFlow: Cyclic Adaptive Rectified Flow for Multimodal Fusion
by: Mai, Sijie, et al.
Published: (2026)
by: Mai, Sijie, et al.
Published: (2026)
Uncertainty-Aware Collaborative System of Large and Small Models for Multimodal Sentiment Analysis
by: Han, Shiqin, et al.
Published: (2025)
by: Han, Shiqin, et al.
Published: (2025)
Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis
by: Luo, Miaosen, et al.
Published: (2025)
by: Luo, Miaosen, et al.
Published: (2025)
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
by: Luo, Kang, et al.
Published: (2024)
by: Luo, Kang, et al.
Published: (2024)
Causal Debiasing Medical Multimodal Representation Learning with Missing Modalities
by: Zhu, Xiaoguang, et al.
Published: (2025)
by: Zhu, Xiaoguang, et al.
Published: (2025)
Causal Neighbourhood Learning for Invariant Graph Representations
by: Job, Simi, et al.
Published: (2026)
by: Job, Simi, et al.
Published: (2026)
Graph Contrastive Invariant Learning from the Causal Perspective
by: Mo, Yanhu, et al.
Published: (2024)
by: Mo, Yanhu, et al.
Published: (2024)
Robust Invariant Representation Learning by Distribution Extrapolation
by: Yoshida, Kotaro, et al.
Published: (2025)
by: Yoshida, Kotaro, et al.
Published: (2025)
Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis
by: Jiang, Menghua, et al.
Published: (2025)
by: Jiang, Menghua, et al.
Published: (2025)
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis
by: Mai, Sijie, et al.
Published: (2024)
by: Mai, Sijie, et al.
Published: (2024)
Unsupervised Representation Learning - an Invariant Risk Minimization Perspective
by: Norman, Yotam, et al.
Published: (2025)
by: Norman, Yotam, et al.
Published: (2025)
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
by: Liang, Zihan, et al.
Published: (2025)
by: Liang, Zihan, et al.
Published: (2025)
Disentangled Representation Learning for Causal Inference with Instruments
by: Cheng, Debo, et al.
Published: (2024)
by: Cheng, Debo, et al.
Published: (2024)
Deep Causal Learning: Representation, Discovery and Inference
by: Deng, Zizhen, et al.
Published: (2022)
by: Deng, Zizhen, et al.
Published: (2022)
Towards the Causal Complete Cause of Multi-Modal Representation Learning
by: Wang, Jingyao, et al.
Published: (2024)
by: Wang, Jingyao, et al.
Published: (2024)
Causal Representation Learning from Multimodal Biomedical Observations
by: Sun, Yuewen, et al.
Published: (2024)
by: Sun, Yuewen, et al.
Published: (2024)
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference
by: Yu, Jianxing, et al.
Published: (2024)
by: Yu, Jianxing, et al.
Published: (2024)
Structure Maintained Representation Learning Neural Network for Causal Inference
by: Sun, Yang, et al.
Published: (2025)
by: Sun, Yang, et al.
Published: (2025)
Robust Multimodal Representation Learning in Healthcare
by: Zhu, Xiaoguang, et al.
Published: (2026)
by: Zhu, Xiaoguang, et al.
Published: (2026)
Calibrated Multimodal Representation Learning with Missing Modalities
by: Liu, Xiaohao, et al.
Published: (2025)
by: Liu, Xiaohao, et al.
Published: (2025)
Factored Causal Representation Learning for Robust Reward Modeling in RLHF
by: Yang, Yupei, et al.
Published: (2026)
by: Yang, Yupei, et al.
Published: (2026)
A Tutorial on Doubly Robust Learning for Causal Inference
by: Hlynsson, Hlynur Davíð
Published: (2024)
by: Hlynsson, Hlynur Davíð
Published: (2024)
Continual Learning of Domain-Invariant Representations
by: Janetzky, Pascal, et al.
Published: (2026)
by: Janetzky, Pascal, et al.
Published: (2026)
CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning
by: Lin, Ronghao, et al.
Published: (2026)
by: Lin, Ronghao, et al.
Published: (2026)
Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, et al.
Published: (2025)
Identifiable Multimodal Causal Representation Learning under Partial Latent Sharing
by: Benhamza, Manal, et al.
Published: (2026)
by: Benhamza, Manal, et al.
Published: (2026)
Learning Robust and Task-Invariant Functional Representation from fMRI through Siamese Self-Supervised Learning
by: Wang, Jiyao, et al.
Published: (2026)
by: Wang, Jiyao, et al.
Published: (2026)
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
by: Clivio, Oscar, et al.
Published: (2024)
by: Clivio, Oscar, et al.
Published: (2024)
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
by: Cai, Yichao, et al.
Published: (2025)
by: Cai, Yichao, et al.
Published: (2025)
Causality-Inspired Robustness for Nonlinear Models via Representation Learning
by: Šola, Marin, et al.
Published: (2025)
by: Šola, Marin, et al.
Published: (2025)
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning
by: Chen, Boyu, et al.
Published: (2024)
by: Chen, Boyu, et al.
Published: (2024)
Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective
by: Zhang, Ziwei, et al.
Published: (2021)
by: Zhang, Ziwei, et al.
Published: (2021)
A Closer Look at the Application of Causal Inference in Graph Representation Learning
by: Gao, Hang, et al.
Published: (2026)
by: Gao, Hang, et al.
Published: (2026)
GIA-MIC: Multimodal Emotion Recognition with Gated Interactive Attention and Modality-Invariant Learning Constraints
by: He, Jiajun, et al.
Published: (2025)
by: He, Jiajun, et al.
Published: (2025)
A Canonicalization Perspective on Invariant and Equivariant Learning
by: Ma, George, et al.
Published: (2024)
by: Ma, George, et al.
Published: (2024)
Unsupervised Learning of Group Invariant and Equivariant Representations
by: Winter, Robin, et al.
Published: (2022)
by: Winter, Robin, et al.
Published: (2022)
Interventional Causal Representation Learning
by: Ahuja, Kartik, et al.
Published: (2022)
by: Ahuja, Kartik, et al.
Published: (2022)
Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference
by: Ahmed, Sk Miraj, et al.
Published: (2026)
by: Ahmed, Sk Miraj, et al.
Published: (2026)
Active and Passive Causal Inference Learning
by: Im, Daniel Jiwoong, et al.
Published: (2023)
by: Im, Daniel Jiwoong, et al.
Published: (2023)
Similar Items
-
Addressing Missing and Noisy Modalities in One Solution: Unified Modality-Quality Framework for Low-quality Multimodal Data
by: Mai, Sijie, et al.
Published: (2026) -
CaReFlow: Cyclic Adaptive Rectified Flow for Multimodal Fusion
by: Mai, Sijie, et al.
Published: (2026) -
Uncertainty-Aware Collaborative System of Large and Small Models for Multimodal Sentiment Analysis
by: Han, Shiqin, et al.
Published: (2025) -
Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis
by: Luo, Miaosen, et al.
Published: (2025) -
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
by: Luo, Kang, et al.
Published: (2024)