Tag
The paper introduces a Reliability-aware Cross-sample Enhancement (RCE) framework for robust multimodal sentiment analysis, addressing noise and missing modalities through adaptive information bottleneck and cross-sample enhancement, demonstrating superior performance across various settings.
GaitVista is a reliability-aware AI measurement layer that uses lightweight gates to assign joint-specific visual contributions from camera and inertial sensor data, reducing error and improving accuracy for longitudinal gait assessment in accessible settings.
This paper proposes RAMamba-Net, a reliability-aware multimodal fusion network using EEG and EOG signals for auditory attention detection, which enhances accuracy and robustness over unimodal methods.
RAPID introduces a reliability-aware pair importance distillation method to improve knowledge distillation efficiency and performance in text classification tasks.
The paper proposes CRAD, a class-wise reliability-aware distillation method for decentralized federated learning to handle heterogeneous architectures and non-IID data, achieving improved accuracy on image classification benchmarks.
Proposes ReTAMamba, a method using reliability-aware temporal aggregation with Mamba for irregular clinical time series prediction, achieving significant AUPRC gains on MIMIC-IV, eICU, and PhysioNet 2012.