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Edalati, A., Tahaei, M., Rashid, A., Partovi Nia, V., Clark, J., & Rezagholizadeh, M. (mai 2022). Kronecker Decomposition for GPT Compression [Communication écrite]. 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland. Lien externe
Gamal Abdel Hameed, M., Tahaei, M. S., Mosleh, A., & Partovi Nia, V. (février 2022). Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition [Communication écrite]. 36th AAAI Conference on Artificial Intelligence (AAAI 2022). Publié dans Proceedings of the AAAI Conference on Artificial Intelligence, 36(1). Lien externe
Partovi Nia, V., Xin-lin, L. I., Asgharian, M., & Hu, S. (2022). A causal direction test for heterogeneous populations. Machine learning with applications, 7, 100235 (8 pages). Disponible
Prazeres, M., Li, X., Oberman, A., & Partovi Nia, V. (février 2022). EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference [Communication écrite]. 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2022). Lien externe
Sari, E., Courville, V., & Partovi Nia, V. (février 2022). iRNN: Integer-only Recurrent Neural Network [Communication écrite]. 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2022). Lien externe
Tahaei, M. S., Charlaix, E., Partovi Nia, V., Ghodsi, A., & Rezagholizadeh, M. (juillet 2022). KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation [Communication écrite]. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Seattle, WA, USA. Lien externe
