Machine Learning

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

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]

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

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]

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]

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]

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%]

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%]

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%]

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]

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.

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]

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%]

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]

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

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]

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

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)

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]

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)

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

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]

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.

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%] (Cited by 2)

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] (Cited by 3)

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)

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)

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)

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)

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)