For the masked language modeling task, the BERTBASE architecture used is bidirectional. This means that it considers both the left and right context for each token. Because of this bidirectional context, the model can capture dependencies and interactions between words in a phrase. This BERT ...
简介:Masked Language Modeling(MLM)是一种预训练语言模型的方法,通过在输入文本中随机掩盖一些单词或标记,并要求模型预测这些掩盖的单词或标记。MLM 的主要目的是训练模型来学习上下文信息,以便在预测掩盖的单词或标记时提高准确性。 Masked Language Modeling(MLM)是一种预训练语言模型的方法,通过在输入文本中随机掩盖一...
However, existing video-language (VidL) models still require task-specific designs in model architecture and training objectives for each task. In this work, we explore a unified VidL framework LAVENDER, where Masked Language Modeling (MLM) is used as the common interfac...
在前面的两篇文章中,我们介绍了基于各类代理任务 (Pretext Task)和基于对比学习 (Contrastive Learning)的自监督学习算法。 随着Vision Transformer (ViT) 在 2021 年霸榜各大数据集,如何基于 ViT 构建更加合适的自监督学习范式成为了该领域的一大问题。最初,DINO和MoCo v3尝试将对比学习和 ViT 相结合,取得了不错...
首先致敬BERT&BEiT 在NLP领域，像BERT的Masked Language Modeling(MLM)这种训练方式非常成功，其学到的...
protein language modelscoevolutionmachine learningPredicting which proteins interact together from amino acid sequences is an important task. We develop a method to pair interacting protein sequences which leverages the power of protein language models trained on multiple sequence alignments (MSAs), such...
在第2 部分理论推导中,我们提到经过 k 层 GNN,输出的隐表示包含了 k 跳子图的聚合信息,这部分信息会存在 task irrelevant 的重叠与冗余,因此在掩码策略中,构建了两种掩码途径来减轻冗余。 Edge-wise random masking:使用伯努利分布得到掩码子集,再对原始边集进行随机掩码。
PLM (XLNet) log P (sentence | the task is) + log P (classification | the task is sentence) MPNet log P (sentence | the task is [M] [M] + log P (classification | the task is sentence [M])Table 2: The factorization of MLM, PLM, a...
However, existing video-language (VidL) models still require task-specific designs in model architecture and training objectives for each task. In this work, we explore a unified VidL framework LAVENDER, where Masked Language Modeling (MLM) is used as the common interface for all pre-training ...
Paper tables with annotated results for How does the task complexity of masked pretraining objectives affect downstream performance?