Ladder Side-Tuning:预训练模型的“过墙梯”kexue.fm/archives/9138 如果说大型的预训练模型是自然语言处理的“张良计”,那么对应的“过墙梯”是什么呢?笔者认为是高效地微调这些大模型到特定任务上的各种技巧。除了直接微调全部参数外,还有像Adapter、P-Tuning等很多参数高效的微调技巧,它们能够通过只微调很少的参...
Ladder Side-Tuning（LST）是一种被提出用于大模型微调的技术，旨在实现参数高效和训练高效。它通过在原有预训练模型上构建一个“旁支”，将大模型的部分层输出作为旁枝模型的输入，让所有训练参数集中于旁枝模型中。由于大模型仅提供输入，LST显著减少了反向传播的复杂度，从而提升训练效率。LST实验表明，...
最近的一篇论文《LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning》[2]则提出了一个新的名为“Ladder Side-Tuning(LST)”的训练技巧,它号称同时达到了参数高效和训练高效。是否真有这么理想的“过墙梯”?本来就让我们一起来学习一下。 方法大意 其实LST 这把“过墙梯”的结构,用原...
最近的《LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning》论文提出了一种名为“Ladder Side-Tuning（LST）”的训练技巧，宣称能同时实现参数高效与训练高效。LST的核心结构如论文图2所示，其原理在于构建“旁支”（梯子）模型，利用预训练模型的部分层输出作为旁支输入，所有...
Ladder Side-Tuning:预训练模型的“过墙梯” ©PaperWeekly 原创 · 作者 |苏剑林 单位|追一科技 研究方向 |NLP、神经网络 如果说大型的预训练模型是自然语言处理的“张良计”,那么对应的“过墙梯”是什么呢?笔者认为是高效地微调这些大模型到特定任务上的各种技巧。除了直接微调全部参数外,还有像 Adapter [1]、...
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The means for generating control signals comprises a resistive network in the form of a ladder, with the input applied signals applied to the top and bottom of the ladder, and the control signals are derived from the potentials on one side of the ladder. The resistances in the ladder are ...
Synthesis, characterization, and curing kinetics of novel ladder-like polysilsesquioxanes containing side-chain maleimide groups Two ladder-like polysilsesquioxanes (LPS) containing side-chain maleimide groups have been synthesized successfully by reacting N -(4-hydroxyphenyl)maleimi... PSG Krishnan,C He...