2026
Targeted Fine-Tuning of DNN-Based Receivers via Influence Functions
ICASSP 2026oral
We present the first use of influence functions for deep learning-based wireless receivers. Applied to DeepRx, a fully convolutional receiver, influence analysis reveals which training samples drive bit predictions, enabling targeted fine-tuning of poorly performing cases. We show that loss-relative…