My research interests are broadly in machine learning and mainly focus on:
Out-of-Distribution Generalization: Efficient Test-Time (Small/Large Vision/Vision-Language) Model Adaptation in the Open Real World.
Transfer Learning: Unsupervised/Semi-supervised/Continual/Source Data Free Domain Adaptation.
Automated Machine Learning: Neural Architecture Search, Discrete Optimization and Applications.