Calibrating AI Models for Few-Shot Demodulation VIA Conformal Prediction
Author:
Affiliation:
1. King’s College London,KCLIP Lab,Department of Engineering,UK
2. The Technion,Viterbi Faculty of Electrical and Computing Engineering,Haifa,Israel
Funder
Horizon Europe
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096780.pdf?arnumber=10096780
Reference21 articles.
1. Conformal Prediction: a Unified Review of Theory and New Challenges;fontana,2020
2. A Tutorial on Conformal Prediction;shafer;Journal of Machine Learning Research,2008
3. A two-stage coded modulation scheme based on the 8-QAM signal for optical transmission systems
4. Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning;cohen;Proc WSA 2021 25th International ITG Workshop on Smart Antennas in EURECOM France,2021
5. Classification with Valid and Adaptive Coverage;romano;Advances in NIPS,2020
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Calibrating AI Models for Wireless Communications via Conformal Prediction;IEEE Transactions on Machine Learning in Communications and Networking;2023
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