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K. Lekkala, E. Bhargava, L. Itti, Evaluating Pretrained models for Deployable Lifelong Learning, In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 552--560, Jan 2024. [2024 acceptance rate: 34%] (Cited by 2)
A. M. Jones, G. Sahin, Z. W. Murdock, Y. Ge, A. Xu, Y. Li, D. Wu, S. Ni, P. H. Huang, K. Lekkala, L. Itti, USC-DCT: A Collection of Diverse Classification Tasks, Data, Vol. 8, No. 10, p. 153, MDPI, Oct 2023. [2022 impact factor: 2.6] (Cited by 7)
Y. Ge, Y. Li, D. Wu, A. Xu, A. M. Jones, A. S. Rios, I. Fostiropoulos, P. H. Huang, Z. W. Murdock, G. Sahin, S. Ni, K. Lekkala, S. A. Sontakke, L. Itti, Lightweight Learner for Shared Knowledge Lifelong Learning, Transactions on Machine Learning Research, pp. 1--26, 2023. (Cited by 3)
C. Liu, K. Lekkala, L. Itti, World Model Based Sim2Real Transfer for Visual Navigation, arXiv preprint arXiv:2310.18847, 2023. [ArXiv Preprint] (Cited by 7)
K. Lekkala, H. Bao, S. Sontakke, L. Itti, Value Explicit Pretraining for Goal-Based Transfer Learning, arXiv preprint arXiv:2312.12339, 2023. [ArXiv Preprint] (Cited by 7)
S. Wen, A. S. Rios, K. Lekkala, L. Itti, What can we learn from misclassified ImageNet images?, arXiv preprint arXiv:2201.08098, 2022. [ArXiv Preprint] (Cited by 7)
K. Lekkala, L. Itti, Attentive Feature Reuse for Multi Task Meta learning, In: ICLR 2021 workshop on Embedded Multimodal Learning, 2021. (Cited by 2)
K. Lekkala, L. Itti, Shaped Policy Search for Evolutionary Strategies using Waypoints, In: 021 IEEE International Conference on Robotics and Automation (ICRA 2021), pp. 9093-9100, May 2021. [2021 acceptance rate: 45%] (Cited by 1)
K. Lekkala, L. Itti, Attentive Feature Reuse for Multi Task Meta learning, arXiv preprint arXiv:2006.07438, 2020. [ArXiv Preprint] (Cited by 2)
K. Lekkala, S. Abu-El-Haija, L. Itti, Meta Adaptation using Importance Weighted Demonstrations, arXiv preprint arXiv:1911.10322, 2019. [ArXiv Preprint] (Cited by 2)
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