deep neural networks 1evidential deep learning 1out-of-distribution detection 1uncertainty quantification 1variational inference 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Variational Inference for Evidential Deep Learning
Jiawei Tang, Xinyan Du, Hui Liu +2
The paper introduces VI-EDL, a variational inference framework for evidential deep learning that controls evidence growth and provides theoretical guarantees for uncertainty estima…
cs.NI2024
Federated Deep Reinforcement Learning-Based Intelligent Channel Access in Dense Wi-Fi Deployments
Xinyang Du, Xuming Fang, Rong He +3
The IEEE 802.11 MAC layer utilizes the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) mechanism for channel contention, but dense Wi-Fi deployments often cause hi…