Publications for author I. Fostiropoulos (excluding plenary and invited talks)


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Click to download BibTeX data Clik to view abstract 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)

Click to download BibTeX data Clik to view abstract 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)

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

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

Click to download BibTeX data 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)

Click to download BibTeX data 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)

Click to download BibTeX data I. Fostiropoulos, L. Itti, Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network, arXiv preprint arXiv:2211.14424, 2022. [ArXiv Preprint] (Cited by 1)

 

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