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Laya Rafiee Sevyeri
Laya Rafiee Sevyeri
Concordia University, Research Intern at Imagia
Verified email at concordia.ca
Title
Cited by
Cited by
Year
Unsupervised anomaly detection with a GAN augmented autoencoder
L Rafiee, T Fevens
Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020
52020
Minimizing client drift in federated learning via adaptive bias estimation
F Varno, M Saghayi, L Rafiee, S Gupta, S Matwin, M Havaei
arXiv preprint arXiv:2204.13170, 2022
32022
Surface realization using pretrained language models
F Farahnak, L Rafiee, L Kosseim, T Fevens
Proceedings of the Third Workshop on Multilingual Surface Realisation, 57-63, 2020
32020
The Concordia NLG Surface Realizer at SRST 2019
F Farahnak, L Rafiee, L Kosseim, T Fevens
Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR …, 2019
22019
AD-CGAN: Contrastive Generative Adversarial Network for Anomaly Detection
LR Sevyeri, T Fevens
Image Analysis and Processing–ICIAP 2022: 21st International Conference …, 2022
12022
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation
F Varno, M Saghayi, L Rafiee Sevyeri, S Gupta, S Matwin, M Havaei
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
2022
on the effectiveness of generative adversarial network on anomaly detection
LR Sevyeri, T Fevens
arXiv preprint arXiv:2112.15541, 2021
2021
Contrastive Generative Adversarial Network for Anomaly Detection
LR Sevyeri, T Fevens
2021
Learning from uncertain concepts via test time interventions
I Sheth, AA Rahman, LR Sevyeri, M Havaei, SE Kahou
Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 0
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Articles 1–9