椭圆 发表于 2025-3-23 12:10:49

Walid Larbi,Jean-François Deü,Roger Ohayonhic Forgetting. Across multiple experiments and datasets, we show that Deep RCA achieves the optimal joint training performance when sequentially trained on new tasks using just the new task data. It does this by utilizing a modified recursive least squares algorithm and a novel recursive null-class

Lineage 发表于 2025-3-23 14:18:11

Walid Larbi,Jean-François Deü,Roger Ohayonndard approach for many languages. However, an in-depth understanding of the effect of using these models is still missing for less spoken languages. This study gives a comprehensive analysis of using the BERT model for languages with rich morphology. We experimented with cross-lingual, multilingual

1分开 发表于 2025-3-23 22:04:55

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Herpetologist 发表于 2025-3-23 23:00:59

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Anthology 发表于 2025-3-24 03:09:15

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废除 发表于 2025-3-24 07:26:26

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注视 发表于 2025-3-24 12:00:48

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macular-edema 发表于 2025-3-24 18:46:46

Deep Learning Applications, Volume 3978-981-16-3357-7Series ISSN 2194-5357 Series E-ISSN 2194-5365

Fibrinogen 发表于 2025-3-24 21:39:05

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archaeology 发表于 2025-3-25 00:12:08

A Comprehensive Analysis of Subword Contextual Embeddings for Languages with Rich Morphology,ndard approach for many languages. However, an in-depth understanding of the effect of using these models is still missing for less spoken languages. This study gives a comprehensive analysis of using the BERT model for languages with rich morphology. We experimented with cross-lingual, multilingual
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查看完整版本: Titlebook: Deep Learning Applications, Volume 3; M. Arif Wani,Bhiksha Raj,Dejing Dou Book 2022 The Editor(s) (if applicable) and The Author(s), under