Machine Learning

B. Nlong Zhao, Y. Xiao, J. Xu, X. Jiang, Y. Yang, D. Li, L. Itti, V. Vineet, Y. Ge, DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models, arXiv e-prints, pp. arXiv--2312, 2023. [ArXiv Preprint]

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)

S. A. Sontakke, J. Zhang, S. Arnold, K. Pertsch, E. Biyik, D. Sadigh, C. Finn, L. Itti, RoboCLIP: One Demonstration is Enough to Learn Robot Policies, In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. [2023 acceptance rate: 26%] (Cited by 5)

I. Fostiropoulos, J. Zhu, L. Itti, Batch Model Consolidation: A Multi-Task Model Consolidation Framework, In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3664--3676, 2023. [2023 acceptance rate: 25.78%] (Cited by 1)

Y. Ge, Y. Li, S. Ni, J. Zhao, M. H. Yang, L. Itti, CLR: Channel-wise Lightweight Reprogramming for Continual Learning, In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 18798--18808, 2023. [2023 acceptance rate: 26.8%] (Cited by 8)

Y. Ge, J. Xu, B. N. Zhao, N. Joshi, L. Itti, V. Vineet, Beyond generation: Harnessing text to image models for object detection and segmentation, arXiv preprint arXiv:2309.05956, 2023. [ArXiv Preprint] (Cited by 1)

Y. Ge, J. Ren, A. Gallagher, Y. Wang, M. H. Yang, H. Adam, L. Itti, B. Lakshminarayanan, J. Zhao, Improving Zero-shot Generalization and Robustness of Multi-modal Models, In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 11093--11101, 2023. [2023 acceptance rate: 25.78%] (Cited by 8)

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)

A. M. Jones, L. Itti, B. R. Sheth, Electrocardiogram sleep staging on par with expert polysomnography, medRxiv, pp. 2023--10, Cold Spring Harbor Laboratory Press, 2023. [ArXiv Preprint] (Cited by 2)

Y. Ge, H. X. Yu, C. Zhao, Y. Guo, X. Huang, L. Ren, L. Itti, J. Wu, 3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection, In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), Dec 2023. [2023 acceptance rate: 26%]

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)

Y. Ge, J. Ren, J. Zhao, K. Chen, A. Gallagher, L. Itti, B. Lakshminarayanan, Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models, arXiv preprint arXiv:2305.17207, 2023. [ArXiv Preprint] (Cited by 1)

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)

I. Fostiropoulos, B. Brown, L. Itti, Reproducibility Requires Consolidated Artifacts, arXiv preprint arXiv:2305.12571, 2023. [ArXiv Preprint] (Cited by 1)

I. Fostiropoulos, L. Itti, ABLATOR: Robust Horizontal-Scaling of Machine Learning Ablation Experiments, In: AutoML Conference 2023 (ABCD Track), 2023. (Cited by 7)

I. Fostiropoulos, B. N. Brown, L. Itti, Trustworthy model evaluation on a budget, In: ICLR 2023 Workshop on Trustworthy and Reliable Large-Scale Machine Learning Models, 2023. (Cited by 2)

I. Fostiropoulos, L. Itti, Probing Reasoning of Language Models with Inductive In-Context Learning, In: International Joint Conference on Artificial Intelligence 2023 Workshop on Knowledge-Based Compositional Generalization, 2023. (Cited by 3)

G. Sahin, L. Itti, HOOT: Heavy Occlusions in Object Tracking Benchmark, In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4830--4839, Jan 2023. [2023 acceptance rate: 35%] (Cited by 2)

Y. Ge, Z. Xu, Y. Xiao, G. Xin, Y. Pang, L. Itti, Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization, In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4761--4769, Jan 2023. [2023 acceptance rate: 35%] (Cited by 2)

A. Rios, N. Ahuja, I. Ndiour, U. Genc, L. Itti, O. Tickoo, incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection, In: European Conference on Computer Vision (ECCV), pp. 588--604, Oct 2022. [2022 acceptance rate: 28%] (Cited by 5)

Y. Ge, Y. Xiao, Z. Xu, X. Wang, L. Itti, Contributions of Shape, Texture, and Color in Visual Recognition, In: European Conference on Computer Vision, pp. 369--386, Oct 2022. [2022 acceptance rate: 28%] (Cited by 7)

Y. Ge, H. Behl, J. Xu, S. Gunasekar, N. Joshi, Y. Song, X. Wang, L. Itti, V. Vineet, Neural-Sim: Learning to Generate Training Data with NeRF, In: European Conference on Computer Vision, pp. 477--493, Oct 2022. [2022 acceptance rate: 28%] (Cited by 15)

S. Roychowdhury, S. Sontakke, L. Itti, M. Sarkar, M. Aggarwal, P. Badjatiya, N. Puri, B. Krishnamurthy, SHERLock: Self-Supervised Hierarchical Event Representation Learning, In: 2022 26th International Conference on Pattern Recognition (ICPR), IEEE, pp. 2672--2678, Aug 2022. [2022 acceptance rate: 52%] (Cited by 3)

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, In: The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 1-8, Mar 2022. [2022 acceptance rate: 29%] (Cited by 2)

S. Wen, L. Itti, Beneficial Perturbation Network for Lifelong Learning, IEEE BrainInsight, pp. 1-4, Dec 2021. (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, 2021. [ArXiv Preprint] (Cited by 2)

K. Lekkala, L. Itti, Attentive Feature Reuse for Multi Task Meta learning, In: ICLR 2021 workshop on Embedded Multimodal Learning, 2021. (Cited by 2)

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] (Cited by 2)

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, Vol. 7, No. 4, pp. 546--558, Nature Publishing Group, 2023. [2021 impact factor: 25.671] (Cited by 26)

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] (Cited by 5)

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%] (Cited by 29)

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%] (Cited by 49)

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%] (Cited by 38)

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] (Cited by 26)

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. (Cited by 3)

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] (Cited by 17)

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)

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] (Cited by 1)

A. Rios, L. Itti, Lifelong Learning Without a Task Oracle, In: Proceedings of ICTAI 2020, pp. 3332-3338, Nov 2020. [2020 acceptance rate: 25%] (Cited by 8)

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] (Cited by 26)

S. Wen, L. Itti, Beneficial Perturbations Network for Defending Adversarial Examples, arXiv preprint arXiv:2009.12724, 2020. [ArXiv Preprint] (Cited by 3)

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 49)

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 29)

K. Lekkala, L. Itti, Attentive Feature Reuse for Multi Task Meta learning, arXiv preprint arXiv:2006.07438, 2020. [ArXiv Preprint] (Cited by 2)

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] (Cited by 17)

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. (Cited by 52)

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)

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] (Cited by 2)

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] (Cited by 47)

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 51)

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 51)

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 14)

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 1014)

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)