AI
Mitigating Sample-Level Imbalance via Probabilistic Separation for Adaptive Multimodal Fusion
Researchers have proposed a new framework to address modality imbalance in multimodal learning. They...
AI
One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
Researchers have developed a system called ADN-Agent to manage complex energy distribution networks....
AI
Radial Compensation: The Inverse Base-Distribution Problem for Chart-Based Generative Models on Riemannian Manifolds
Researchers have identified a problem with how generative models are applied to certain types of dat...
AI
HiFiNet: Hierarchical Fault Identification in Wireless Sensor Networks via Edge-Based Classification and Graph Aggregation
Researchers have developed HiFiNet, a new method for identifying faults in wireless sensor networks....
AI
MOCLIP: A Foundation Model for Large-Scale Nanophotonic Inverse Design
Researchers have developed a foundation model called MOCLIP for designing nanoph...
AI
Multi-Context Fusion Transformer for Pedestrian Crossing Intention Prediction in Urban Environments
Researchers have developed a new AI model called the Multi-Context Fusion Transf...
AI
MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
Researchers have developed MPCFormer, an approach for explainable socially-aware...
AI
Diagnosing Capability Preservation and Task Sensitivity in Memory Augmented Document Classifiers
Researchers introduced a new type of memory mechanism called Protected QL Memory...