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pro vyhledávání: '"Lin, Pin-Jie"'
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning
Identifying beneficial tasks to transfer from is a critical step toward successful intermediate-task transfer learning. In this work, we experiment with 130 source-target task combinations and demonstrate that the transfer performance exhibits severe
Externí odkaz:
http://arxiv.org/abs/2407.16245
Nigerian Pidgin is an English-derived contact language and is traditionally an oral language, spoken by approximately 100 million people. No orthographic standard has yet been adopted, and thus the few available Pidgin datasets that exist are charact
Externí odkaz:
http://arxiv.org/abs/2404.18264
Autor:
Chang, Ernie, Lin, Pin-Jie, Li, Yang, Srinivasan, Sidd, Lan, Gael Le, Kant, David, Shi, Yangyang, Iandola, Forrest, Chandra, Vikas
Distributional shift is a central challenge in the deployment of machine learning models as they can be ill-equipped for real-world data. This is particularly evident in text-to-audio generation where the encoded representations are easily undermined
Externí odkaz:
http://arxiv.org/abs/2311.00895
Autor:
Chang, Ernie, Srinivasan, Sidd, Luthra, Mahi, Lin, Pin-Jie, Nagaraja, Varun, Iandola, Forrest, Liu, Zechun, Ni, Zhaoheng, Zhao, Changsheng, Shi, Yangyang, Chandra, Vikas
Text-to-audio generation (TTA) produces audio from a text description, learning from pairs of audio samples and hand-annotated text. However, commercializing audio generation is challenging as user-input prompts are often under-specified when compare
Externí odkaz:
http://arxiv.org/abs/2311.00897
Developing effective spoken language processing systems for low-resource languages poses several challenges due to the lack of parallel data and limited resources for fine-tuning models. In this work, we target on improving upon both text classificat
Externí odkaz:
http://arxiv.org/abs/2307.00382
Autor:
Chang, Ernie, Rashid, Muhammad Hassan, Lin, Pin-Jie, Zhao, Changsheng, Demberg, Vera, Shi, Yangyang, Chandra, Vikas
Knowing exactly how many data points need to be labeled to achieve a certain model performance is a hugely beneficial step towards reducing the overall budgets for annotation. It pertains to both active learning and traditional data annotation, and i
Externí odkaz:
http://arxiv.org/abs/2307.00374
Autor:
LIN, PIN-JIE, 林品傑
105
Beer brewing business is booming in Taiwan in recent years, especially in the craft beers. With more and more selections for the consumers, however, quality assurance becomes great challenges to beer makers. This thesis was working on the is
Beer brewing business is booming in Taiwan in recent years, especially in the craft beers. With more and more selections for the consumers, however, quality assurance becomes great challenges to beer makers. This thesis was working on the is
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/59313787741825555399
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