mixture of expert

PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures AAAI 2026 QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis ACL 2026 Quant Experts: Token-aware Adaptive Error Reconstruction with Mixture of Experts for Large Vision-Language Models Quantization CVPR 2026 RAG-TP: A General Framework for Vehicle Trajectory Prediction via Retrieval-Augmented Generation CVPR 2026 RAID: Retrieval-Augmented Anomaly Detection CVPR 2026 RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training AAAI 2026 RegionFuse: Region-Adaptive Pixel Distribution Learning for Infrared and Visible Image Fusion CVPR 2026 RegionRoute: Regional Style Transfer with Diffusion Model CVPR 2026 ReMoE: Region-Mixture Experts for Adversarially-Robust Vision Transformers CVPR 2026 RobuMTL: Enhancing Multi-Task Learning Robustness Against Weather Conditions WACV 2026 Robust Membership Inference for Large Language Models under Adversarial Generative Corruption ACL 2026 RollArt: Disaggregated Multi-Task Agentic RL Training at Scale OSDI 2026 RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials AAAI 2026 SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation AAAI 2026 SAGE: Synergistic Adaptive Gating of Experts for Hateful Video Detection ACL 2026 Scene Experts: Specializing in 3D Gaussian Splatting with Adaptive Decomposition AAAI 2026 SEATrack: Simple, Efficient, and Adaptive Multimodal Tracker CVPR 2026 SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute AAAI 2026 Seeing in Double: Dual-Granularity BEV Segmentation via Mamba-Driven Alignment and Polar-Decoupled Experts AAAI 2026 SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation CVPR 2026 Self-Adaptive Graph Mixture of Models AAAI 2026 SEMC: Structure-Enhanced Mixture-of-Experts Contrastive Learning for Ultrasound Standard Plane Recognition AAAI 2026 SigLino: Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation Models CVPR 2026 SketchAssist: A Practical Assistant for Semantic Edits and Precise Local Redrawing CVPR 2026 SkyMoE: A Vision-Language Foundation Model for Enhancing Geospatial Interpretation with Mixture of Experts AAAI 2026