Please check my google scholar profile for an up-to-date list.

  1. Jha S., Gong D., Wang X., Turner R., Yao L., The Neural Process Family: Survey, Applications and Perspectives. [Pre-print]
  2. 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)
  3. Jha S., Schiemer M., Ye J. “Continual learning in human activity recognition: an empirical analysis of regularization”. ICML Workshop on Continual Learning, 2020.
  4. Jha S., Schiemer M., Zambonelli F., Ye J. “Continual learning in sensor-based human activity recognition: An empirical benchmark analysis”. Information Sciences, 2021.
  5. 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.
  6. 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]