disentangled representation

Disentangled Representation Learning with the Gromov-Monge Gap ICLR 2025 Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location AAAI 2025 Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks AAAI 2025 Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models WACV 2025 Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior IJCAI 2025 Disentangling Representations through Multi-task Learning ICLR 2025 Disentangling Tabular Data Towards Better One-Class Anomaly Detection AAAI 2025 DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation ICLR 2025 Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025 Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer ICLR 2025 Factorized RVQ-GAN For Disentangled Speech Tokenization Interspeech 2025 FluxSpace: Disentangled Semantic Editing in Rectified Flow Models CVPR 2025 FreeCodec: A Disentangled Neural Speech Codec with Fewer Tokens Interspeech 2025 HairCUP: Hair Compositional Universal Prior for 3D Gaussian Avatars ICCV 2025 I2VControl: Disentangled and Unified Video Motion Synthesis Control ICCV 2025 IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation AAAI 2025 Imitation Learning Based on Disentangled Representation Learning of Behavioral Characteristics CoRL 2025 Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding CVPR 2025 Interaction Asymmetry: A General Principle for Learning Composable Abstractions ICLR 2025 LangVAE and LangSpace: Building and Probing for Language Model VAEs EMNLP 2025 LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization COLING 2025 Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation AAAI 2025 Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion AAAI 2025 Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement ICCV 2025 Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild AAAI 2025