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06/01/2023
Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
Parameter-efficient fine-tuning (PEFT) of pre-trained language models (P...
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05/26/2023
Parameter-Efficient Fine-Tuning without Introducing New Latency
Parameter-efficient fine-tuning (PEFT) of pre-trained language models ha...
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11/09/2022
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token
The pre-training of masked language models (MLMs) consumes massive compu...
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10/28/2022
Towards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning
In this paper, deep learning (DL) methods are evaluated in the context o...
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09/17/2021
