Name: Rheeya Uppaal
Type: User
Company: @UWMadison @GoldmanSachs @iesl @Information-Fusion-Lab-Umass
Bio: PhD at UW Madison | Ex-Research Engineer at Goldman Sachs | MS at UMass Amherst | Machine Learning, NLP
Twitter: RUppaal
Blog: http://uppaal.github.io/
Rheeya Uppaal's Projects
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Part of work for the UMass Computer Vision Lab's Intelligent Search Project
Non Adversarial Domain Adaptation, in a Low Resource Supervised Setting
Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"