In detail, we propose to exploit the richer priors from strong self-supervised pre-trained models (PTM). To this end, we propose simple baselines, composed of a frozen PTM backbone and a learnable linear classifier, that are not only simple to implement but also resilient under longer ...
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery 来自 arXiv.org 喜欢 0 阅读量: 6 作者:M Liu,S Roy,Z Zhong,N Sebe,E Ricci 摘要: Discovering novel concepts in unlabelled datasets and in a continuous manner is an important desideratum of lifelong ...
参考论文《CPM-2: Large-scale Cost-effective Pre-trained Language Models》 针对预训练语言模型(PLM)问题限制了它们在现实世界场景中的使⽤,作者提出了⼀套使⽤PLM来处理预训练、微调和推理的效率问题的具有成本效益的技术,该技术主要分成3个方面: (1) 引⼊知识继承,通过利⽤现有的PLM⽽不是从头开始...
With the prevalence of pre-trained language models (PLMs) and the pre-training–fine-tuning paradigm, it has been continuously shown that larger models tend to yield better performance. However, as PLMs scale up, fine-tuning and storing all the parameter
a, Performance of scBERT (with/without pre-training) measured by accuracy and F1-score on Zheng68K dataset using 5-fold cross-validation. scBERT with pre-training is trained on over 1,000,000 cells from public scRNA-seq data from PanglaoDB. In the contrast, the model weights of scBERT ...
KD指使用一个或多个大pre-trained模型(称为老师)的输出(通常是中间层的输出)训练一个较小的模型(称为学生)。在BERT模型中,有多个中间结果学生可以学习,如编码器的输出单位,最后一层logits和attention map。根据学生学习的老师,现有的分类方法如下。 (1) 对编码器输出(EO)进行蒸馏 ...
Foundation (aka Pre-trained) Models General-purpose Foundation Model MetaLM:Language Models are General-Purpose Interfaces The Big Convergence- Large-scale self-supervised pre-training acrosstasks(predictive and generative),languages(100+ languages), andmodalities(language, image, audio, layout/format +...
Pre-trained Language Models (PLMs) have proven to be beneficial for various downstream NLP tasks. Recently, GPT-3, with 175 billion parameters and 570GB training data, drew a lot of attention due to the capacity of fewshot (even zero-shot) learning. However, applying GPT-3 to address Chin...
摘要 With the urgent demand for generalized deep models,many pre-trained big models are proposed,such as bidirectio...展开更多 作者 Xiao Wang Guangyao Chen Guangwu Qian Pengcheng Gao Xiao-Yong Wei Yaowei Wang Yonghong Tian Wen Gao 机构地区 Peng Cheng Laboratory School of Computer Science and ...
1. Pre-training on setences in Wikipedia We pre-trained our models on Philly (a Microsoft internal compute cluster), the code is specialized for multi-node multi-GPU compute on this platform. The pre-training main python isrun_lm_vae_pretraining_phdist_beta.py. You may need to adjust th...