Trade-off between reconstruction loss and feature alignment for domain generalization

Thuan Nguyen; Boyang Lyu; Prakash Ishwar; Matthias Scheutz; Shuchin Aeron

doi:10.1109/ICMLA55696.2022.00132

Trade-off between reconstruction loss and feature alignment for domain generalization

Thuan Nguyen
, Boyang Lyu
, Prakash Ishwar
, Matthias Scheutz
, Shuchin Aeron

Department of Engineering, Engineering Technology, Interior Architecture, and Surveying

Tufts University
Boston University College of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022
Editors	M. Arif Wani, Mehmed Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit-Yan Chan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	794-801
Number of pages	8
ISBN (Electronic)	9781665462839
DOIs	https://doi.org/10.1109/ICMLA55696.2022.00132
State	Published - 2022
Event	21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022 - Nassau, Bahamas Duration: Dec 12 2022 → Dec 14 2022

Publication series

Name	Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022

Conference

Conference	21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022
Country/Territory	Bahamas
City	Nassau
Period	12/12/22 → 12/14/22

ASJC Scopus Subject Areas

Computer Vision and Pattern Recognition
Computer Science Applications
Artificial Intelligence
Hardware and Architecture

Keywords

algorithm
domain alignment
domain generalization
reconstruction loss

Access to Document

10.1109/ICMLA55696.2022.00132

Cite this

Nguyen, T., Lyu, B., Ishwar, P., Scheutz, M., & Aeron, S. (2022). Trade-off between reconstruction loss and feature alignment for domain generalization. In M. A. Wani, M. Kantardzic, V. Palade, D. Neagu, L. Yang, & K.-Y. Chan (Eds.), Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022 (pp. 794-801). (Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMLA55696.2022.00132

Trade-off between reconstruction loss and feature alignment for domain generalization. / Nguyen, Thuan; Lyu, Boyang; Ishwar, Prakash et al.
Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. ed. / M. Arif Wani; Mehmed Kantardzic; Vasile Palade; Daniel Neagu; Longzhi Yang; Kit-Yan Chan. Institute of Electrical and Electronics Engineers Inc., 2022. p. 794-801 (Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nguyen, T, Lyu, B, Ishwar, P, Scheutz, M & Aeron, S 2022, Trade-off between reconstruction loss and feature alignment for domain generalization. in MA Wani, M Kantardzic, V Palade, D Neagu, L Yang & K-Y Chan (eds), Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Institute of Electrical and Electronics Engineers Inc., pp. 794-801, 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, 12/12/22. https://doi.org/10.1109/ICMLA55696.2022.00132

Nguyen T, Lyu B, Ishwar P, Scheutz M, Aeron S. Trade-off between reconstruction loss and feature alignment for domain generalization. In Wani MA, Kantardzic M, Palade V, Neagu D, Yang L, Chan KY, editors, Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 794-801. (Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022). doi: 10.1109/ICMLA55696.2022.00132

Nguyen, Thuan ; Lyu, Boyang ; Ishwar, Prakash et al. / Trade-off between reconstruction loss and feature alignment for domain generalization. Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. editor / M. Arif Wani ; Mehmed Kantardzic ; Vasile Palade ; Daniel Neagu ; Longzhi Yang ; Kit-Yan Chan. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 794-801 (Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022).

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Trade-off between reconstruction loss and feature alignment for domain generalization

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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