| AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics HS Noghabi, S Peng, O Zolotareva, CC Collins, M Ester Bioinformatics 36 (Supplement_1), i380-i388, 2020 | 59 | 2020 |
| Combining domain-specific meta-learners in the parameter space for cross-domain few-shot classification S Peng, W Song, M Ester arXiv preprint arXiv:2011.00179, 2020 | 7 | 2020 |
| Informed Augmentation Selection Improves Tabular Contrastive Learning A Khoeini, S Peng, M Ester NeurIPS 2024 Workshop: Self-Supervised Learning-Theory and Practice, 2024 | | 2024 |
| Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles S Peng, A Khoeini, S Vaswani, M Ester UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural …, 2024 | | 2024 |
| Better Calibration Error Estimation for Reliable Uncertainty Quantification S Peng, P Alamzadeh, M Ester ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | | 2023 |
| Adversarial Inductive Transfer Learning with input and output space adaptation H Sharifi-Noghabi, S Peng, O Zolotareva, CC Collins, M Ester | | |
Martin EsterDistinguished Professor of Computer Science, Simon Fraser UniversityVerified email at cs.sfu.ca
