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

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, 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)

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)

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