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pro vyhledávání: '"Tamborrino, Alexandre"'
Fine-tuning of pre-trained transformer models has become the standard approach for solving common NLP tasks. Most of the existing approaches rely on a randomly initialized classifier on top of such networks. We argue that this fine-tuning procedure i
Externí odkaz:
http://arxiv.org/abs/2004.14074
Autor:
Tamborrino, Alexandre
This thesis presents a Real-time Reactive platform for Data Integration and Event Stream Processing. The Data Integration part is composed of data pullers that incrementally pull data changes from REST data sources and propagates them as streams of i
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177203