From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems

5 January 2020

Osvaldo Simeone

Sangwoo Park

Joonhyuk Kang

AI4CE

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Papers citing "From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems"

26 / 26 papers shown

Title
Turbo-ICL: In-Context Learning-Based Turbo Equalization Zihang Song Matteo Zecchin Bipin Rajendran Osvaldo Simeone 41 0 0 09 May 2025
Transformer-based Wireless Symbol Detection Over Fading Channels Li Fan Jing Yang Cong Shen 36 0 0 20 Mar 2025
Decision Feedback In-Context Symbol Detection over Block-Fading Channels Li Fan Jing Yang Cong Shen 31 1 0 12 Nov 2024
Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning Momin Abbas Koushik Kar Tianyi Chen 29 5 0 28 Aug 2024
Cell-Free Multi-User MIMO Equalization via In-Context Learning Matteo Zecchin Kai Yu Osvaldo Simeone 29 6 0 08 Apr 2024
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models Matteo Zecchin Kai Yu Osvaldo Simeone 20 10 0 10 Nov 2023
New Environment Adaptation with Few Shots for OFDM Receiver and mmWave Beamforming Ouya Wang Shenglong Zhou Geoffrey Ye Li 13 4 0 18 Oct 2023
FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training Keren Liu E. Börjeson Christian Hager P. Larsson-Edefors 27 4 0 07 Dec 2022
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 21 1 0 02 Dec 2022
Online Bayesian Meta-Learning for Cognitive Tracking Radar C. Thornton R. M. Buehrer A. Martone 26 5 0 07 Jul 2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 8 15 0 01 Jul 2022
An Energy and Carbon Footprint Analysis of Distributed and Federated Learning S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 32 42 0 21 Jun 2022
RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes Salman Habib Allison Beemer Joerg Kliewer 25 4 0 27 Dec 2021
Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling Yaxiong Yuan Lei Lei T. Vu Zheng Chang Symeon Chatzinotas Sumei Sun 26 20 0 13 Oct 2021
Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks I. Nikoloska Osvaldo Simeone 25 22 0 04 Aug 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 23 12 0 02 Aug 2021
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks I. Nikoloska Osvaldo Simeone 37 21 0 02 May 2021
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 48 81 0 25 Aug 2020
Team Deep Mixture of Experts for Distributed Power Control Matteo Zecchin David Gesbert Marios Kountouris 14 4 0 28 Jul 2020
Information-Theoretic Generalization Bounds for Meta-Learning and Applications Sharu Theresa Jose Osvaldo Simeone 21 45 0 09 May 2020
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning Sangwoo Park Osvaldo Simeone Joonhyuk Kang 39 42 0 03 Mar 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection Nir Shlezinger Rong Fu Yonina C. Eldar 42 102 0 08 Feb 2020
perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention Nir Raviv Avi Caciularu Tomer Raviv Jacob Goldberger Yair Be’ery 15 8 0 06 Feb 2020
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 202 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,171 0 02 Feb 2017