conftrace_

disentangled representation

521 papers

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DR

Co-occurring keywords

representation learning (6206) variational autoencoder (1288) unsupervised learning (3264) generative model (2892) latent space (854) generative adversarial network (1944) image generation (2073) variational inference (2069) mutual information (724) self-supervised learning (3777)

Papers

Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025
DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh CVPR 2025
NeuraLeaf: Neural Parametric Leaf Models with Shape and Deformation Disentanglement ICCV 2025
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion AAAI 2025
CtrlAvatar: Controllable Avatars Generation via Disentangled Invertible Networks AAAI 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification CVPR 2025
Towards Fairness with Limited Demographics via Disentangled Learning IJCAI 2025
Representation Learning: A Causal Perspective AAAI 2025
TimeBooth: Disentangled Facial Invariant Representation for Diverse and Personalized Face Aging ICCV 2025
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025
LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization COLING 2025
Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models AAAI 2025
N-CORE: N-View Consistency Regularization for Disentangled Representation Learning in Nonverbal Vocalizations EMNLP 2025
Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location AAAI 2025
DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction AAAI 2025
Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement ICCV 2025
Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks AAAI 2025
StrandHead: Text to Hair-Disentangled 3D Head Avatars Using Human-Centric Priors ICCV 2025
Two Outliers at BEA 2025 Shared Task: Tutor Identity Classification using DiReC, a Two-Stage Disentangled Contrastive Representation ACL 2025
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms IJCAI 2024
Disentangled Representation Learning for Environment-agnostic Speaker Recognition INTERSPEECH 2024
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation WACV 2024
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments IJCAI 2024
Disentangled Pre-Training for Image Matting WACV 2024