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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