Representation
[论文阅读] Learning Component-Level and Inter-Class Glyph Representation for few-shot Font Generation
Pre title: Learning Component-Level and Inter-Class Glyph Representation for few-shot Font Generation accepted: ICME 2023 paper: https://ieeexplore.ie ......
Drug response prediction using graph representation learning and Laplacian feature selection
Drug response prediction using graph representation learning and Laplacian feature selection Minzhu Xie 1 2, Xiaowen Lei 3, Jianchen Zhong 3, Jianxing ......
【今日收获】Representation Collapse
在深度学习中，对预训练模型进行 fine-tuning 可能会引发一种称为 "Representation Collapse" 的现象。Representation Collapse 指的是模型在 fine-tuning 过程中失去了原始预训练模型所具有的多样性和丰富性的特征表示，导致最终模型的表示 ......
2023ICCV_Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution
一. Motivation 1. transformer的工作主要集中在设计transformer块以获得全局信息，而忽略了合并高频先验的潜力 2. 关于频率对性能的影响的详细分析有限（Additionally, there is limited detailed analysis of the i ......
CA-TCC: 半监督时间序列分类的自监督对比表征学习《Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification》(时间序列、时序表征、时间和上下文对比、对比学习、自监督学习、半监督学习、TS-TCC的扩展版)
现在是2023年11月27日，10:48，今天把这篇论文看了。 论文：Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification GitHub：https://g ......
通过时序和上下文对比学习时间序列表征《Time-Series Representation Learning via Temporal and Contextual Contrasting》(时间序列、时序表征、时态和上下文对比、对比学习、自监督学习、半监督学习)
现在是2023年11月14日的22:15，肝不动了，要不先回寝室吧，明天把这篇看了，然后把文档写了。OK，明天的To Do List. 现在是2023年11月15日的10:35，继续。 论文：Time-Series Representation Learning via Temporal and C ......
【图形学笔记】Lecture09-Mesh Representation &Geometry Processing-网格表示与几何处理
Lecture09-Mesh Representation &Geometry Processing-网格表示与几何处理 目录Lecture09-Mesh Representation &Geometry Processing-网格表示与几何处理Mesh Presentation网格表示Smooth ......
Robust Graph Representation Learning via Neural Sparsification
目录概符号说明NeuralSparse Zheng C., Zong B., Cheng W., Song D., Ni J., Yu W., Chen H. and Wang W. Robust graph representation learning via neural sparsifica ......
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning论文阅读
2023 ICCV Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning论文阅读，思想很妙，该笔记非常简要 ......
[NIPS 2021]Do Transformers Really Perform Bad for Graph Representation
[NIPS 2021]Do Transformers Really Perform Bad for Graph Representation 微软提出的graph transformer，名叫Graphormer Transformer 通常，transformer layer有一个self-att ......
Learning Continuous Image Representation with Local Implicit Image Function
Learning Continuous Image Representation with Local Implicit Image Function（阅读笔记）11.03 局部隐式图像函数（LIIF）表示连续中的图像，可以以任意高分辨率表示。 摘要：如何表示图像？当视觉世界以连续的方式呈现时，机器 ......
Unsupervised Degradation Representation Learning f
Unsupervised Degradation Representation Learning for Blind Super-Resolution文献阅读 (2022.09.28)盲超分辨率的退化表征（向量）学习 摘要：大多数基于CNN的SR都是基于退化固定且可知这一假设。但是实际退化和假设不一 ......
EVA: Visual Representation Fantasies from BAAI
本文做个简单总结，博主不是做自监督领域的，如果错误，欢迎指正。 链接 Code： Official：baaivision/EVA MMpretrain：open-mmlab/mmpretrain/tree/main/configs/eva02 Paper： EVA01：EVA: Explorin ......
[论文阅读] Momentum contrast for unsupervised visual representation learning
# Momentum contrast for unsupervised visual representation learning ## Introduction 我们提出了动量对比（MoCo）作为一种构建具有对比损失的无监督学习的大型一致字典的方法（图1）。 我们将字典维护为数据样本队列：当前 ......
论文解读（WDGRL）《Wasserstein Distance Guided Representation Learning for Domain Adaptation》
Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Wasserstein Distance Guided Representation Learning for Domain Adaptation论文作者：Jian Shen、Yanru Qu、Weinan ......
bert，Bidirectional Encoder Representation from Transformers
BERT的全称是Bidirectional Encoder Representation from Transformers，是Google2018年提出的预训练模型，即双向Transformer的Encoder，因为decoder是不能获要预测的信息的。模型的主要创新点都在pre-train方法上 ......
Self-attention with Functional Time Representation Learning
[TOC] > [Xu D., Ruan C., Kumar S., Korpeoglu E. and Achan K. Self-attention with functional time representation learning. NIPS, 2019.](http://arxiv.or ......
论文阅读 | Soteria: Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective
Soteria:基于表示的联邦学习中可证明的隐私泄露防御https://ieeexplore.ieee.org/document/9578192 # 3 FL隐私泄露的根本原因 ## 3.1 FL中的表示层信息泄露 **问题设置** 在FL中，有多个设备和一个中央服务器。服务器协调FL进程，其中每个 ......
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
[TOC] > [Qiu R., Huang Z., Ying H. and Wang Z. Contrastive learning for representation degeneration problem in sequential recommendation. WSDM, 2022.] ......
ARC060D - Best Representation
诈骗题。给了个模数但是答案根本达不到那个级别。 先提前给出一个引理，如果长度为 $2n$ 的 $s$ 有 $s[1,n]=s[n+1,2n]$ 并且 $s[1,m]=s[m+1,2m](mn-x$，那么就有最左边和最右边的 $n-border$ 串相等。两个拼起来，根据引理就有更小的循环节，这是不被 ......
[论文速览] MAGE@MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
## Pre title: MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis accepted: CVPR2023 paper: https://arxiv.org/abs/221 ......
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ Published in Transactions on Machine Learning Research (04/2023) ......
Oceans on a Shoestring: Shape Representation, Meshing and Shading(低成本的海洋：形状表示、网格划分和着色)-2013年
作者：Huw Bowles 单位：Studio Gobo Introduction(简介)：Studio Gobo is a small team of talented developers based in Brighton / UK The Crew(成员)：Ben Andrews, Paul ......
生成中间代码IR（intermediate representation）
完成以上步骤后就开始生成中间代码IR了，代码生成器（Code Generation）会将语法树自顶向下遍历逐步翻译成LLVM IR。OC代码在这一步会进行runtime的桥接，比如property合成、ARC处理等。 IR的基本语法 @ 全局标识 % 局部标识 alloca 开辟空间 align 内 ......
Do Transformers Really Perform Badly for Graph Representation
Ying C., Cai T., Luo S., Zheng S., Ke D., Shen Y. and Liu T. Do transformers really perform badly for graph representation? NIPS, 2021. 概 本文提出了一种基于图的 ......
Representation Learning for Attributed Multiplex Heterogeneous Network
Cen Y., Zou X., Zhang J., Yang H., Zhou J. and Tang J. Representation learning for attributed multiplex heterogeneous network. KDD, 2019. 概 本文在 Attrib ......
NEQR: novel enhanced quantum representation
Reference：
Zhang, Y., Lu, K., Gao, Y. et al. NEQR: a novel enhanced quantum representation of digital images. Quantum Inf Process 12, 2833–2860 (2013)... ......
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
摘要 提出SimCLR，用于视觉表征的对比学习，简化了最近提出的对比自监督学习算法，为了理解是什么使对比预测任务能够学习有用的表示，系统研究了提出框架的主要组成部分，发现： （1）数据增强的组成在定义有效的预测任务中起着关键的作用 （2）在表示和对比损失之间引入一个可学习的非线性变换，大大提高了已学 ......
【论文阅读笔记】iCaRL: Incremental Classifier and Representation Learning
Author: Alexander Kolesnikov Key_words: nearest-mean-of-exemplar rule, prioritized exampler selection,representation learning Create_time: September 1 ......
Spatio-Temporal Representation With Deep Neural Recurrent Network in MIMO CSI Feedback阅读笔记
阅读文献《Spatio-Temporal Representation With Deep Neural Recurrent Network in MIMO CSI Feedback》 该文献的作者是天津大学的吴华明老师，在2020年5月发表于IEEE WIRELESS COMMUNICATIO ......