Please check my google scholar profile for an up-to-date list.
- Jha S., Gong D., Wang X., Turner R., Yao L., “The Neural Process Family: Survey, Applications and Perspectives“. [Pre-print]
- Pelosin F.*, Jha S.*, Torsello A., Raducanu B., van de Weijer J. “Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization”. CVPR Workshop on Continual Learning, 2022. (* Equal Contribution)
- Jha S., Schiemer M., Ye J. “Continual learning in human activity recognition: an empirical analysis of regularization”. ICML Workshop on Continual Learning, 2020.
- Jha S., Schiemer M., Zambonelli F., Ye J. “Continual learning in sensor-based human activity recognition: An empirical benchmark analysis”. Information Sciences, 2021.
- Ye J., Nakwijit P., Schiemer M., Jha S., Zambonelli F. “Continual Activity Recognition with Generative Adversarial Networks”. ACM Transactions on Internet of Things (TIOT), 2021.
- Jha S., Sudhakar A., Singh A.K. “Learning cross-lingual phonological and orthographic adaptations: a case study in improving neural machine translation between low-resource languages”. Journal of Language Modelling, 2019. [Paper][Code]