Machine Learning


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Click to download BibTeX data Clik to view abstract K. Lekkala, S. Abu-El-Haija, L. Itti, Meta Adaptation using Importance Weighted Demonstrations, arXiv preprint arXiv:1911.10322, 2019. [ArXiv Preprint]

Click to download BibTeX data 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%]

Click to download BibTeX data Clik to view abstract 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]

Click to download BibTeX data Clik to view abstract 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]

Click to download BibTeX data Clik to view abstract S. Wen, L. Itti, Beneficial perturbation network for continual learning, arXiv preprint arXiv:1906.10528, Jun 2019. [ArXiv Preprint]

Click to download PDF version Click to download BibTeX data Clik to view abstract 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)

Click to download PDF version Click to download BibTeX data 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)

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

Click to download PDF version Click to download BibTeX data Clik to view abstract 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)

Click to download BibTeX data Clik to view abstract 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)

 

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