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ORCIDLaya Rafiee
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2020 – today
- 2023
[i4]Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei:
Source-free Domain Adaptation Requires Penalized Diversity. CoRR abs/2304.02798 (2023)- [i3]Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Shirin Abbasinejad Enger:
Transparent Anomaly Detection via Concept-based Explanations. CoRR abs/2310.10702 (2023) - 2022
- [c4]Farshid Varno
, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei:
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. ECCV (23) 2022: 710-726 - [c3]Laya Rafiee Sevyeri, Thomas Fevens:
AD-CGAN: Contrastive Generative Adversarial Network for Anomaly Detection. ICIAP (1) 2022: 322-334 - [i2]Farshid Varno, Marzie Saghayi, Laya Rafiee, Sharut Gupta, Stan Matwin, Mohammad Havaei:
Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. CoRR abs/2204.13170 (2022) - 2021
- [i1]Laya Rafiee Sevyeri, Thomas Fevens:
on the effectiveness of generative adversarial network on anomaly detection. CoRR abs/2112.15541 (2021) - 2020
- [c2]Laya Rafiee, Thomas Fevens:
Unsupervised Anomaly Detection with a GAN Augmented Autoencoder. ICANN (1) 2020: 479-490
2010 – 2019
- 2019
- [c1]Farhood Farahnak, Laya Rafiee, Leila Kosseim, Thomas Fevens:
The Concordia NLG Surface Realizer at SRST 2019. MSR@EMNLP-IJCNLP 2019: 63-67
Coauthor Index
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