conftrace_

disentangled representation

521 papers

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DR

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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

Alleviating Dual Biases in Recommendation (Student Abstract) AAAI 2025
DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction AAAI 2025
I2VControl: Disentangled and Unified Video Motion Synthesis Control ICCV 2025
Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning ACL 2025
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation AAAI 2025
IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation AAAI 2025
Zero-Shot Compositional Video Learning with Coding Rate Reduction ICCV 2025
Representation Learning: A Causal Perspective AAAI 2025
Discovering Semantic Subdimensions through Disentangled Conceptual Representations EMNLP 2025
Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild AAAI 2025
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models CVPR 2025
TimeBooth: Disentangled Facial Invariant Representation for Diverse and Personalized Face Aging ICCV 2025
LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization COLING 2025
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion AAAI 2025
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks AAAI 2025
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior IJCAI 2025
CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation ICCV 2025
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation IJCAI 2025
NeuraLeaf: Neural Parametric Leaf Models with Shape and Deformation Disentanglement ICCV 2025
Causality-Inspired Disentanglement for Fair Graph Neural Networks IJCAI 2025
DGTalker: Disentangled Generative Latent Space Learning for Audio-Driven Gaussian Talking Heads ICCV 2025
Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection AAAI 2025
Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location AAAI 2025
Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement ICCV 2025
Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning IJCAI 2025