3 papers
cs.LG2026
AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks
Irene Tenison, Soumyajit Chatterjee, Fahim Kawsar +1
To utilize pre-trained neural networks on edge and mobile devices, we often require efficient adaptation to user-specific runtime data distributions while operating under limited c…
cs.LG2026
AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs
Ting Dang, Soumyajit Chatterjee, Hong Jia +3
Test time adaptation (TTA) has emerged as a promising solution to adapt pre-trained models to new, unseen data distributions using unlabeled target domain data. However, most TTA m…
cs.SD2025
SoundCollage: Automated Discovery of New Classes in Audio Datasets
Ryuhaerang Choi, Soumyajit Chatterjee, Dimitris Spathis +3
Developing new machine learning applications often requires the collection of new datasets. However, existing datasets may already contain relevant information to train models for…