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Dive into the research topics where Iftitahu Ni'Mah is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Efficient and effective training of sparse recurrent neural networks
Liu, S., Ni'Mah, I., Menkovski, V., Mocanu, D. C. & Pechenizkiy, M., Aug 2021, In: Neural Computing and Applications. 33, 15, p. 9625-9636 12 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Citations (Scopus)27 Downloads (Pure) -
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
Ni'mah, I., Fang, M., Menkovski, V. & Pechenizkiy, M., 2021, Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. Moens, M-F., Huang, X., Specia, L. & Yih, S. W-T. (eds.). p. 1606-1617 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Looking deeper into deep learning model: attribution-based explanations of TextCNN
Xiong, W., Ni'mah, I., Huesca, J. M. G., van Ipenburg, W., Veldsink, J. & Pechenizkiy, M., 8 Nov 2018. 9 p.Research output: Contribution to conference › Paper › Academic
Open AccessFile29 Downloads (Pure)