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Deep learning models have become essential in software engineering, enabling intelligent features like image captioning and document generation.
2019
Earlier work this paper cites.
A. Barbu, D. Mayo, J. Alverio, W. Luo, C. Wang, D. Gutfreund, J. Tenenbaum, and B. Katz, “Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models,” Advances in neural information processing systems , vol. 32, 2019
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
P. Kohli and A. Chadha, “Enabling pedestrian safety using computer vision techniques: A case study of the 2018 Uber inc. self-driving car crash,” in Advances in Information and Communication , 2020
2020
Cited alongside, same era.
M. R. Jabbarpour, A. M. Saghiri, and M. Sookhak, “A framework for component selection considering dark sides of artificial intelligence: a case study on autonomous vehicle,” Electronics , vol. 10, no. 4, 2021
2021
Cited alongside, same era.
Y. Li, Y. Shen, and L. Chen, “Palette: Towards multi-source model selection and ensemble for reuse,” in 2021 IEEE 37th International Conference on Data Engineering (ICDE) , 2021, pp. 2147–2152
2021
Later among the works it cites.
C. Renggli, A. S. Pinto, L. Rimanic, J. Puigcerver, C. Riquelme, C. Zhang, and M. Lucic, “Which Model to Transfer? Finding the Needle in the Growing Haystack,” no. ii, pp. 9195–9204, 2022
2022
Later among the works it cites.
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