Competition
Fri 3:04 Breakout: The NeurIPS 2021 BEETL Competition: Benchmarks for EEG Transfer Learning

Workshop
Component Transfer Learning for Deep RL Based on Abstract Representations
Geoffrey Driessel · Vincent Francois-Lavet

Competition
5th Team Michaln - MixUp augmentation for EEG transfer learning

Workshop
Tue 6:00 Nancy Zhang - Data Denoising and Transfer Learning in Single Cell Transcriptomics

Workshop
Mon 15:50 Importance Weighting for Transfer Learning
Masashi Sugiyama

2nd Team Wduong - Using Deep Convolutional Neural Networks for cross-subject and cross-dataset transfer learning for EEG-based BCIs

Competition
3rd Team MS01 - EEG transfer learning with SPDNet - 3rd BEETL competition solution

Workshop
Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data
Aishwarya Sarkar · Chaoqun Lu · Ali Jannesari

Affinity Workshop
Interpretable Transfer Learning for Pulmonary Disease Detection on Chest X- Rays
Levi Masengo Wa Umba

Affinity Workshop
Combining Transfer Learning And Transformer Attention Mechanism to Increase Aqueous Solubility Prediction Performance
Magdalena Wiercioch