:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Ying, Liang, Xuefeng, Chen, Han, Zhao, Yin, Chen, Xin, Yu, Lida
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2401.16119
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Disentangled Representation Learning
by: Wang, Xin, et al.
Published: (2022)

Temporal-Spatial Decouple before Act: Disentangled Representation Learning for Multimodal Sentiment Analysis
by: Meng, Chunlei, et al.
Published: (2026)

Disentangled Generative Graph Representation Learning
by: Hu, Xinyue, et al.
Published: (2024)

Retrieval-based Disentangled Representation Learning with Natural Language Supervision
by: Zhou, Jiawei, et al.
Published: (2022)

TripleFDS: Triple Feature Disentanglement and Synthesis for Scene Text Editing
by: Bao, Yuchen, et al.
Published: (2025)

DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
by: Wang, Pan, et al.
Published: (2024)

Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
by: Wang, Xinkun, et al.
Published: (2025)

Enhancing Multimodal Affective Analysis with Learned Live Comment Features
by: Deng, Zhaoyuan, et al.
Published: (2024)

Tri-Subspaces Disentanglement for Multimodal Sentiment Analysis
by: Meng, Chunlei, et al.
Published: (2026)

DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data
by: Robinet, Lucas, et al.
Published: (2024)

CG-DMER: Hybrid Contrastive-Generative Framework for Disentangled Multimodal ECG Representation Learning
by: Niu, Ziwei, et al.
Published: (2026)

Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language Models
by: Hu, Xinmiao, et al.
Published: (2025)

On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems
by: Wang, Siyu, et al.
Published: (2024)

Continuous Adversarial Text Representation Learning for Affective Recognition
by: Son, Seungah, et al.
Published: (2025)

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
by: Gao, Weibo, et al.
Published: (2024)

Multimodal Representation Learning Conditioned on Semantic Relations
by: Qiao, Yang, et al.
Published: (2025)

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
by: Jia, Chengxing, et al.
Published: (2024)

Semantic Matters: Multimodal Features for Affective Analysis
by: Hallmen, Tobias, et al.
Published: (2025)

Affective Multimodal Agents with Proactive Knowledge Grounding for Emotionally Aligned Marketing Dialogue
by: Yu, Lin, et al.
Published: (2025)

Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series
by: Chang, Ching, et al.
Published: (2024)

TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
by: Chang, Ching, et al.
Published: (2023)

VISAFF: Speaker-Centered Visual Affective Feature Learning for Emotion Recognition in Conversation
by: ZHU, Linan, et al.
Published: (2026)

Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
by: Liu, Xin, et al.
Published: (2024)

EviDep: Trustworthy Multimodal Depression Estimation via Disentangled Evidential Learning
by: Liu, Fangyuan, et al.
Published: (2026)

Quantifying Modality Contributions via Disentangling Multimodal Representations
by: Amit, Padegal, et al.
Published: (2025)

Structural Equation-VAE: Disentangled Latent Representations for Tabular Data
by: Zhang, Ruiyu, et al.
Published: (2025)

Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis
by: Mai, Sijie, et al.
Published: (2024)

Cross-Camera Cow Identification via Disentangled Representation Learning
by: Wang, Runcheng, et al.
Published: (2026)

SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation
by: Chen, Jielin, et al.
Published: (2024)

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
by: Zhang, Yifei, et al.
Published: (2024)

Disentangled and Self-Explainable Node Representation Learning
by: Piaggesi, Simone, et al.
Published: (2024)

Disentangled Representation Learning for Causal Inference with Instruments
by: Cheng, Debo, et al.
Published: (2024)

An Adaptive, Disentangled Representation for Multidimensional MRI Reconstruction
by: Zhao, Ruiyang, et al.
Published: (2025)

Memory Bear AI Memory Science Engine for Multimodal Affective Intelligence: A Technical Report
by: Wen, Deliang, et al.
Published: (2026)

AffectEval: A Modular and Customizable Framework for Affective Computing
by: Zhou, Emily, et al.
Published: (2025)

Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation
by: Liu, Chenruo, et al.
Published: (2025)

ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval
by: Zhao, Ruixiang, et al.
Published: (2024)

Disentanglement in Difference: Directly Learning Semantically Disentangled Representations by Maximizing Inter-Factor Differences
by: Zhang, Xingshen, et al.
Published: (2025)

Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning
by: Song, Rui, et al.
Published: (2026)

End-to-end Semantic-centric Video-based Multimodal Affective Computing
by: Lin, Ronghao, et al.
Published: (2024)