124 citations · 231 across the 10 of their papers we have counts for
3 papers · 1 filter
Multitask Learning Can Improve Worst-Group Outcomes
Atharva Kulkarni, Lucio Dery, Amrith Setlur +3
In order to create machine learning systems that serve a variety of users well, it is vital to not only achieve high average performance but also ensure equitable outcomes across d…
DeMuX: Data-efficient Multilingual Learning
Simran Khanuja, Srinivas Gowriraj, Lucio Dery +1
We consider the task of optimally fine-tuning pre-trained multilingual models, given small amounts of unlabelled target data and an annotation budget. In this paper, we introduce D…
Cross-Modal Fine-Tuning: Align then Refine
Junhong Shen, Liam Li, Lucio M. Dery +4
Fine-tuning large-scale pretrained models has led to tremendous progress in well-studied modalities such as vision and NLP. However, similar gains have not been observed in many ot…