NeurIPS 2021

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Competition

BEETL Competition: Benchmarks for EEG Transfer Learning

[ Abstract ]

Abstract:

Pseudo workshop for Competition Track and Gather Town support

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Schedule

-	1st Team Cogitat - When the Stars Align: User-Independent EEG Decoding with Deep Sets ( Workshop Poster ) When the Stars Align: User-Independent EEG Decoding with Deep Sets - 1st Team Cogitat	🔗
-	2nd Team Wduong - Using Deep Convolutional Neural Networks for cross-subject and cross-dataset transfer learning for EEG-based BCIs ( Workshop Poster ) Using Deep Convolutional Neural Networks for cross-subject and cross-dataset transfer learning for EEG-based BCIs - 2nd Team Wduong	🔗
-	3rd Team MS01 - EEG transfer learning with SPDNet - 3rd BEETL competition solution ( Workshop Poster ) EEG transfer learning with SPDNet - 3rd BEETL competition solution - 3rd Team MS01	🔗
-	4th Team nik-sm - AutoTransfer: Automated Subject Transfer Learning with Censored Representations on Biosignals Data ( Workshop Poster ) AutoTransfer: Automated Subject Transfer Learning with Censored Representations on Biosignals Data - 4th Team nik-sm	🔗
-	5th Team Michaln - MixUp augmentation for EEG transfer learning ( Workshop Poster ) MixUp augmentation for EEG transfer learning - 5th Team Michaln	🔗
-	BEETL_6th ( Workshop Poster )	🔗
-	BEETL_7th ( Workshop Poster )	🔗