Results

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
Workshop	Tue 6:00	Nancy Zhang - Data Denoising and Transfer Learning in Single Cell Transcriptomics
Competition		5th Team Michaln - MixUp augmentation for EEG transfer learning
Competition		2nd Team Wduong - Using Deep Convolutional Neural Networks for cross-subject and cross-dataset transfer learning for EEG-based BCIs
Workshop	Mon 15:50	Importance Weighting for Transfer Learning Masashi Sugiyama
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
Spotlight		Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer Junya Chen · Zidi Xiu · Benjamin Goldstein · Ricardo Henao · Lawrence Carin · Chenyang Tao
Affinity Workshop		Combining Transfer Learning And Transformer Attention Mechanism to Increase Aqueous Solubility Prediction Performance Magdalena Wiercioch
Affinity Workshop		Interpretable Transfer Learning for Pulmonary Disease Detection on Chest X- Rays Levi Masengo Wa Umba
Poster	Tue 8:30	Implicit Semantic Response Alignment for Partial Domain Adaptation Wenxiao Xiao · Zhengming Ding · Hongfu Liu