Machine Learning

K. Lekkala, S. Abu-El-Haija, L. Itti, Meta Adaptation using Importance Weighted Demonstrations, arXiv preprint arXiv:1911.10322, 2019. [ArXiv Preprint]

J. Windau, L. Itti, Inertial-Based Motion Capturing and Smart Training System, In: Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1-4, Nov 2019. [2013 acceptance rate: 45%]

S. Wen, L. Itti, Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system, arXiv preprint arXiv:1910.04279, Oct 2019. [ArXiv Preprint]

A. Zhang, Z. C. Lipton, L. Pineda, K. Azizzadenesheli, A. Anandkumar, L. Itti, L. Pineau, T. Furlanello, Learning causal state representations of partially observable environments, arXiv preprint arXiv:1906.10437, Jun 2019. [ArXiv Preprint]

S. Wen, L. Itti, Beneficial perturbation network for continual learning, arXiv preprint arXiv:1906.10528, Jun 2019. [ArXiv Preprint]

A. Rios, L. Itti, Closed-Loop GAN for continual learning, In: 2018 NIPS workshop on Continual Learning, pp. 1-8, Dec 2018. (Cited by 7)

A. Rios, L. Itti, Closed-Loop GAN for continual learning, In: 2018 NIPS workshop on Women in Machine Learning (WiML) (oral presentation), p. 1, Dec 2018. (Cited by 7)

S. Wen, L. Itti, Overcoming catastrophic forgetting problem by weight consolidation and long-term memory, arXiv preprint arXiv:1805.07441, 2018. [ArXiv Preprint]

T. Furlanello, Z. C. Lipton, M. Tschannen, L. Itti, A. Anandkumar, Born Again Neural Networks, In: Proceedings of the 35th International Conference on Machine Learning (ICML 2018), (Dy, Jennifer, Krause, Andreas Ed.), Vol. 80, pp. 1607-1616, Stockholmsmässan, Stockholm Sweden:PMLR, Mar 2018. [2018 acceptance rate: 25.1%] (Cited by 121)

D. Zhu, Y. Luo, L. Dai, X. Shao, L. Itti, J. Lu, Deep Salient Object Detection via Hierarchical Network Learning, In: International Conference on Neural Information Processing, Springer, pp. 319-329, Oct 2017. (Cited by 1)