| Memory-efficient domain incremental learning for Internet of Things Y Zhao, D Saxena, J Cao Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems …, 2022 | 9 | 2022 |
| AdaptCL: Adaptive continual learning for tackling heterogeneity in sequential datasets Y Zhao, D Saxena, J Cao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
| FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning C Song, D Saxena, J Cao, Y Zhao arXiv preprint arXiv:2404.09210, 2024 | 1 | 2024 |
| MGAS: Multi-Granularity Architecture Search for Effective and Efficient Neural Networks X Liu, D Saxena, J Cao, Y Zhao, P Ruan arXiv preprint arXiv:2310.15074, 2023 | 1 | 2023 |
| Revisiting Parameter Reuse to Overcome Catastrophic Forgetting in Neural Networks Y Zhao, D Saxena, J Cao arXiv preprint arXiv:2207.11005, 2022 | 1 | 2022 |
| Overcoming Growth-Induced Forgetting in Task-Agnostic Continual Learning Y Zhao, D Saxena, J Cao, X Liu, C Song arXiv preprint arXiv:2408.10566, 2024 | | 2024 |
| SparseGrow: Addressing Growth-Induced Forgetting in Task-Agnostic Continual Learning Y Zhao, D Saxena, J Cao, X Liu, C Song arXiv e-prints, arXiv: 2408.10566, 2024 | | 2024 |
