"disentangled representation learning" Papers
15 papers found
Conference
COME: Adding Scene-Centric Forecasting Control to Occupancy World Model
Yining Shi, Kun Jiang, Qiang Meng et al.
NEURIPS 2025oralarXiv:2506.13260
6
citations
Disentangled Representation Learning via Modular Compositional Bias
whie jung, Dong Hoon Lee, Seunghoon Hong
NEURIPS 2025arXiv:2510.21402
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
Qi Wang, Zhipeng Zhang, Baao Xie et al.
ICCV 2025arXiv:2503.08751
5
citations
Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability
Hoang Son Nguyen, Xiao Fu
NEURIPS 2025arXiv:2510.17040
1
citations
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis
Chengzhi Liu, Zile Huang, Zhe Chen et al.
AAAI 2025paperarXiv:2502.11724
8
citations
MagicNaming: Consistent Identity Generation by Finding a “Name Space” in T2I Diffusion Models
Jing Zhao, Heliang Zheng, Chaoyue Wang et al.
AAAI 2025paperarXiv:2412.14902
5
citations
AACP: Aesthetics Assessment of Children’s Paintings Based on Self
Supervised Learning
AAAI 2024paperarXiv:2403.07578
2
citations
DTL: Disentangled Transfer Learning for Visual Recognition
Minghao Fu, Ke Zhu, Jianxin Wu
AAAI 2024paperarXiv:2312.07856
26
citations
Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion
Kiran Chhatre, Radek Danecek, Nikos Athanasiou et al.
CVPR 2024arXiv:2312.04466
42
citations
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
Zheng Huang, Qihui Yang, Dawei Zhou et al.
ICML 2024arXiv:2406.04601
8
citations
Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation
Siteng Huang, Biao Gong, Yutong Feng et al.
CVPR 2024arXiv:2311.15841
23
citations
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction
Zhaoxi Mu, Xinyu Yang, Sining Sun et al.
AAAI 2024paperarXiv:2312.10305
12
citations
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
Mathieu Simon, Pascal Frossard, Christophe De Vleeschouwer
ECCV 2024arXiv:2408.05599
4
citations
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns et al.
ICML 2024arXiv:2404.10282
12
citations
Why do Variational Autoencoders Really Promote Disentanglement?
Pratik Bhowal, Achint Soni, Sirisha Rambhatla
ICML 2024