Published in 39th Conference on Uncertainty in Artificial Intelligence (UAI), 2023
We introduce a family of simple, yet effective transferability estimators to predict the transfer learning performance between two regression tasks.
Published in 2022 The International Symposium on Information Theory and Its Applications (ISITA), 2022
We analyze new generalization bounds for deep learning models trained by transfer learning from a source to a target task.
Published in IEEE Eighth International Conference on Communications and Electronics (ICCE), 2020
We introduce a yolo-based network architechture for human detection attaining the trade-off between accuracy and processing time on edge devices.