Representation Learning

Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems UAI 2026 Discovering Adaptive Task Dependencies for Efficient Multi-Task Representation Compression CVPR 2026 Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement CVPR 2026 Disentangling Meaning and Language Components in Diverse Multilingual Sentence Embeddings ACL 2026 DIST-CLIP: Arbitrary Metadata and Image Guided MRI Harmonization via Disentangled Anatomy-Contrast Representations MIDL 2026 Distilling Large Embeddings via Hyperspherical Householder Quantization ACL 2026 DiverseDiT: Towards Diverse Representation Learning in Diffusion Transformers CVPR 2026 Diversity over Uniformity: Rethinking Representation in Generated Image Detection CVPR 2026 DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning WACV 2026 Duluth at SemEval-2026 Task 4: A Hybrid Approach to Narrative Similarity using Bi-Encoder Embeddings with Cross-Encoder Tie breaking using Learned Weights SemEval 2026 Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecasting ACL 2026 FC-TTS: Style and Timbre Control in Zero-Shot Text-to-Speech with Disentangled Speech Representations ACL 2026 FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift CVPR 2026 FedPAGR: Federated Prototype Alignment via Geometric Refinement for Heterogeneous Architectures ACL 2026 FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning CVPR 2026 Fine-VAD: Towards Fine-Grained Video Anomaly Detection via Progressive Cross-Granularity Learning CVPR 2026 From ID to LLM: Rethinking Representation Learning for Recommendation ACL 2026 From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning CVPR 2026 Generative Video Compression with One-Dimensional Latent Representation CVPR 2026 Geometry-Aware Cardiac MRI Representation Learning with Equivariant Neural Fields MIDL 2026 GeoWorld: Geometric World Models CVPR 2026 GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment ACL 2026 Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification UAI 2026 Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation CVPR 2026 Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs ACL 2026