Machine Learning


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Click to download BibTeX data S. Wen, L. Itti, Beneficial Perturbation Network for Lifelong Learning, IEEE BrainInsight, pp. 1-4, Dec 2021.

Click to download BibTeX data 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, 2021. [ArXiv Preprint]

Click to download BibTeX data K. Lekkala, L. Itti, Attentive Feature Reuse for Multi Task Meta learning, In: ICLR 2021 workshop on Embedded Multimodal Learning, 2021. (Cited by 1)

Click to download BibTeX data S. A. Sontakke, S. Iota, Z. Hu, A. Mehrjou, L. Itti, B. Scholkopf, GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL, arXiv preprint arXiv:2110.15489, 2021. [ArXiv Preprint]

Click to download BibTeX data S. Wen, A. Yin, T. Furlanello, M. Perich, L. Miller, L. Itti, Rapid adaptation of brain--computer interfaces to new neuronal ensembles or participants via generative modelling, Nature Biomedical Engineering, pp. 1--13, Nature Publishing Group, 2021. [2021 impact factor: 25.671]

Click to download BibTeX data S. Wen, A. Yin, P. H. Tseng, L. Itti, M. A. Lebedev, M. Nicolelis, Capturing spike train temporal pattern with wavelet average coefficient for brain machine interface, Scientific reports, Vol. 11, No. 1, pp. 1--10, Nature Publishing Group, 2021. [2020 impact factor: 4.379]

Click to download BibTeX data Y. Ge, S. Abu-El-Haija, G. Xin, L. Itti, Zero-shot Synthesis with Group-Supervised Learning, In: International Conference on Learning Representations (ICLR'21), pp. 1-16, 2021. [2021 acceptance rate: 28.7%]

Click to download BibTeX data Clik to view abstract S. A. Sontakke, A. Mehrjou, L. Itti, B. Scholkopf, Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning, In: Proceedings of the 38th International Conference on Machine Learning, (Meila, Marina, Zhang, Tong Ed.), Vol. 139, pp. 9848--9858, PMLR, 18--24 Jul 2021. [2021 acceptance rate: 21.5%]

Click to download BibTeX data Y. Ge, Y. Xiao, Z. Xu, M. Zheng, S. Karanam, T. Chen, L. Itti, Z. Wu, A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts, In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2195--2204, 2021. [2021 acceptance rate: 23.7%]

Click to download BibTeX data Y. Ge, Z. Xu, Y. Xiao, G. Xin, Y. Pang, L. Itti, Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization, arXiv preprint arXiv:2112.03163, 2021. [ArXiv Preprint]

Click to download BibTeX data Y. Ge, Y. Pang, L. Li, L. Itti, Graph Autoencoder for Graph Compression and Representation Learning, In: Neural Compression: From Information Theory to Applications--Workshop of ICLR 2021, pp. 1-9, 2021.

Click to download BibTeX data S. Wen, A. Rios, Y. Ge, L. Itti, Beneficial Perturbation Network for designing general adaptive artificial intelligence systems, IEEE Transactions on Neural Networks and Learning Systems, pp. 1-14, IEEE, 2021. [2020 impact factor: 8.793]

Click to download BibTeX data 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%]

Click to download BibTeX data S. A. Sontakke, S. Roychowdhury, M. Sarkar, N. Puri, B. Krishnamurthy, L. Itti, Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms, arXiv preprint arXiv:2109.03813, 2021. [ArXiv Preprint]

Click to download BibTeX data A. Rios, L. Itti, Lifelong Learning Without a Task Oracle, In: Proceedings of ICTAI 2020, pp. 3332-3338, Nov 2020. [2020 acceptance rate: 25%]

Click to download BibTeX data Y. Ge, G. Xin, Z. Xu, Y. Xiao, Y. Pang, H. Yining, L. Itti, Generative Auto-Encoder: Controllable Synthesis with Disentangled Exploration, 2020. [ArXiv Preprint]

Click to download BibTeX data S. Wen, L. Itti, Beneficial Perturbations Network for Defending Adversarial Examples, arXiv preprint arXiv:2009.12724, 2020. [ArXiv Preprint]

Click to download BibTeX data S. A. Sontakke, A. Mehrjou, L. Itti, B. Scholkopf, Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning, arXiv preprint arXiv:2010.03110, 2020. [ArXiv Preprint] (Cited by 9)

Click to download BibTeX data S. Roychowdhury, S. A. Sontakke, N. Puri, M. Sarkar, M. Aggarwal, P. Badjatiya, B. Krishnamurthy, L. Itti, Unsupervised Hierarchical Concept Learning, arXiv preprint arXiv:2010.02556, 2020. [ArXiv Preprint]

Click to download BibTeX data Y. Ge, S. Abu-El-Haija, G. Xin, L. Itti, Zero-shot Synthesis with Group-Supervised Learning, arXiv preprint arXiv:2009.06586, 2020. [ArXiv Preprint] (Cited by 1)

Click to download BibTeX data K. Lekkala, L. Itti, Attentive Feature Reuse for Multi Task Meta learning, arXiv preprint arXiv:2006.07438, 2020. [ArXiv Preprint] (Cited by 1)

Click to download BibTeX data S. Wen, A. Rios, Y. Ge, L. Itti, Beneficial Perturbation Network for designing general adaptive artificial intelligence systems, arXiv preprint arXiv:2009.13954, 2020. [ArXiv Preprint]

Click to download BibTeX data A. Rios, L. Itti, Closed-Loop Memory GAN for Continual Learning, In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence Main track (IJCAI'19), pp. 3332-3338, Aug 2019.

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%] (Cited by 2)

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] (Cited by 3)

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 45)

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 45)

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] (Cited by 10)

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 539)

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 3)

 

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