Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface

14 April 2024

Papers citing "Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface"

8 / 8 papers shown

Title
MAEEG: Masked Auto-encoder for EEG Representation Learning H. Chien Hanlin Goh Christopher M. Sandino Joseph Y. Cheng 59 49 0 27 Oct 2022
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface Jingcong Li Fei Wang Haiyun Huang Feifei Qi Jiahui Pan 63 32 0 07 Sep 2022
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing Denghao Li Pablo Ortega Xia Wei Aldo A. Faisal 70 19 0 10 Mar 2021
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 105 209 0 28 Jan 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 580 42,677 0 03 Dec 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 841 11,961 0 09 Mar 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon C. Hung Brent Lance OOD 136 2,914 0 23 Nov 2016
Transfer Learning in Brain-Computer Interfaces V. Jayaram Morteza Alamgir Yasemin Altun Bernhard Schölkopf Moritz Grosse-Wentrup OOD 56 372 0 01 Dec 2015