Vladimir Campos·Jul 11The TLSp sidebars are full of surprises (I didn’t see this coming)It’s been a few weeks since I started porting the Timeline System to a paper notebook (TLSp), and the most important thing about this…A response icon1A response icon1
Roland Millward·Nov 11, 2024From Digital Notes To A Paper NotebookProgess sometimes requires a backward step!A response icon1A response icon1
Chihcheng Hsieh·Aug 21, 2022[Paper Note] Network Dissection: Quantifying Interpretability of Deep Visual RepresentationsBefore reading:
Watson Wang·Jun 21, 2022論文筆記 — Few-Shot Classification with Feature Map Reconstruction Networks(FRN)論文網址：https://arxiv.org/abs/2012.01506
Po-Yung Chou·Oct 27, 2021[Fine-grained] 論文筆記－TransFG: A Transformer Architecture for Fine-grained Recognition作者: Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille
InBeyond the BaselinebyJulien Horwood·Jun 22, 2021Paper Notes: Don’t Stack Layers in Graph Neural Networks, Wire Them RandomlyOriginal Paper (Valsesia et al.)
You-Xiang·Jul 28, 2020[PAPER NOTE] MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic…Date: 20.07.23 Speaker: 子芸
Hamed Mozaffari·Jun 15, 2019My Summary and Important notes from Scientific Papers and BooksIn this section, I will write a summary and important parts of the papers which I read recently. Main topics are:
![[Paper Note] Network Dissection: Quantifying Interpretability of Deep Visual Representations](https://miro.medium.com/v2/resize:fill:160:106/1*-RQpAj1KLI5WvEqySaVpBQ.png)
![[Paper Note] Network Dissection: Quantifying Interpretability of Deep Visual Representations](https://miro.medium.com/v2/resize:fill:320:214/1*-RQpAj1KLI5WvEqySaVpBQ.png)
![[Fine-grained] 論文筆記－TransFG: A Transformer Architecture for Fine-grained Recognition](https://miro.medium.com/v2/resize:fill:160:106/1*PQzPtiHvxTeicgyajlFV5g.png)
![[Fine-grained] 論文筆記－TransFG: A Transformer Architecture for Fine-grained Recognition](https://miro.medium.com/v2/resize:fill:320:214/1*PQzPtiHvxTeicgyajlFV5g.png)
