1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles
Shuman Peng, Arash Khoeini, Sharan Vaswani +1
The quality of self-supervised pre-trained embeddings on out-of-distribution (OOD) data is poor without fine-tuning. A straightforward and simple approach to improving the generali…
cs.LG2020★ 1 cited
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification
Shuman Peng, Weilian Song, Martin Ester
The goal of few-shot classification is to learn a model that can classify novel classes using only a few training examples. Despite the promising results shown by existing meta-lea…