Richa Upadhyay

Doktorand
Luleå tekniska universitet

Forskningsämne: Maskininlärning

Avdelning: EISLAB

Institutionen för system- och rymdteknik

richa.upadhyay@ltu.se
Luleå

Publikationer

Konferensbidrag

Emotions Classification Using EEG in Health Care (2023)

Rakesh. S, Liwicki. F, Mokayed. H, Upadhyay. R, Chhipa. P, Gupta. V, et al.

Ingår i: Computer Vision and Machine Intelligence, Proceedings of CVMI 2022, s. 37-49, Springer Nature, 2023

Konferensbidrag

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images (2023)

Chhipa. P, Upadhyay. R, Grund Pihlgren. G, Saini. R, Uchida. S, Liwicki. M

Ingår i: Proceedings: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), s. 2716-2726, IEEE, 2023

Konferensbidrag

Multi-Task Meta Learning: learn how to adapt to unseen tasks (2023)

Upadhyay. R, Chhipa. P, Phlypo. R, Saini. R, Liwicki. M

Ingår i: IJCNN 2023 - International Joint Conference on Neural Networks, Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2023

Licentiatavhandling, monografi

Sharing to learn and learning to share (2023)

Fitting together metalearning and multi-task learning

Upadhyay. R

Fulltext

Konferensbidrag

Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification (2022)

Chhipa. P, Upadhyay. R, Saini. R, Lindqvist. L, Nordenskjold. R, Uchida. S, et al.

Ingår i: Computer Vision – ECCV 2022, 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VI, s. 212-227, Springer Nature, 2022

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Publicerad:15 maj 2020

Uppdaterad: 31 augusti 2023

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