Reading
TypeError: Cannot read properties of undefined (reading '0')
今天取请求返回值时报的一个错误，要取返回值中数组下标为零的数据，错误显示说未定义。检查之后发现要取的数据是请求返回的data中data，少嵌套了一层data导致数据为空报错。（返回数据的路径可以右键Copy property path，这样就不会错了） ......
Paper Reading: Learning from Weak-Label Data: A Deep Forest Expedition
目录研究动机文章贡献本文方法标签补码结构标签频率估计与补码标志机制LCForest 整体框架实验结果实验设置基因功能分析任务实验文本分类任务实验场景分类任务实验医学自然语言处理实验优点和创新点 Paper Reading 是从个人角度进行的一些总结分享，受到个人关注点的侧重和实力所限，可能有理解不到 ......
Proj CDeepFuzz Paper Reading: NYX: Greybox Hypervisor Fuzzing using Fast Snapshots and Affine Types
Abstract 背景：hypervisor(virtual machine monitor, VMM) 保障了不同虚拟机之间的安全隔离(security boundaries) 用户：攻击场景：在云服务上运行自身的VM instances, 提升权限 本文：Nyx 目的：coverage guid ......
Uncaught TypeError: Cannot read properties of undefined (reading 'form')问题的解决
问题描述 使用vue3执行数据添加操作时，发现了这个错误，使用测试按钮拿文本框数据，一直报错拿不到： 问题解决 原来是vue2在执行这个操作时： 里面放this.form; 而vue3在执行这个操作时， 里面放的却是：form ......
Uncaught TypeError: Cannot read properties of undefined (reading 'type') from echarts
DON'T use ref or reactive to wrap the echarts instance. Use a common variable or shallowRef to avoid the deep watch for echarts instance. 不要使用 ref 或 r ......
Vue项目报TypeError: Cannot read properties of undefined (reading '_wrapper')
前情 最近在做一个营销活动的时候，我选择了Vue技术栈来开发。 坑位 项目看似一切都正常，但当我在绑定的js事件中去修改当前组件的data上的值时会报错：TypeError: Cannot read properties of undefined (reading '_wrapper')。 报错信息 ......
Paper reading: Improving Deep Forest by Exploiting High-order Interactions
为了对深度森林设计出信息量更大、计算成本更低的特征表示，本文提出了一种新的深度森林模型——高阶交互深度森林(hiDF)，利用输入特征的稳定高阶交互来生成信息丰富且多样化的特征表示。具体而言，本文设计了一个广义版本的随机交叉树(gRIT)来发现稳定的高阶相互作用，并应用激活线性组合(ALC)将这些相互... ......
Proj. CRR Paper Reading: Optimal Speedup of Las Vegas Algorithms, Adaptive restart for stochastic synthesis
Title Adaptive restart for stochastic synthesis PLDI 2021 Task Distribute the power between multiple runs in stochastic program synthesis to accelerat ......
Paper Reading: Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems
针对欠采样方法会丢弃大量多数类样本导致信息缺失的问题，本文提出了基于哈希的欠采样集成 HUE 模型，它利用 Bagging 和多数类样本的分布特征来构建多样化的训练子集。首先 HUE 通过散列将大多数类样本划分为不同的特征子空间，然后使用所有少数样本和主要从同一哈希子空间中提取的部分多数样本来构建训... ......
Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert 论文笔记
最近一直在看虚拟人像. 最关键的论文就是wav2lip. 目前项目中也是用的这个. 一个视频加一个语音, 就可以生成用视频里面的头,加语音的新视频. 现在看这篇论文Seeing What You Said: Talking Face Generation Guided by a Lip Readin ......
What We’re Reading: What makes you happy?
Hi everybody, As I enjoy the last dregs of summer in Chicago, I bask in the nearly-perfect pre-winter weather, the joy in returning my kids to school, ......
Proj CDeepFuzz Paper Reading: Metamorphic Testing of Deep Learning Compilers
## Abstract 背景：Compiling DNN models into high-efficiency executables is not easy: the compilation procedure often involves converting high-level model ......
解决npm ERR! Cannot read properties of null (reading ‘pickAlgorithm‘)报错问题
转载自：https://www.cnblogs.com/zhyp/p/16920380.html 解决方法：在终端中运行命令：npm cache clear --force 然后重新运行 npm i 命令，再次安装安装完成，没有出现报错npm run serve 运行项目，项目可以正常启动了。 安装 ......
Proj CDeepFuzz Paper Reading: A Comprehensive Study of Deep Learning Compiler Bugs
## Abstract 背景：深度学习编译器处理的深度学习模型与命令式程序有根本的不同，因为深度学习模型中的程序逻辑是隐式的。（the DL models processed by DL compilers differ fundamentally from imperative programs ......
Proj CDeepFuzz Paper Reading: DeepMutation: Mutation Testing of Deep Learning Systems
## Abstract 本文：DeepMutation Github: https://github.com/berkuva/mutation-testing-for-DNNs Task: mutation testing framework specialized for DL systems t ......
Proj CDeepFuzz Paper Reading: Testing Deep Neural Networks
## Abstract 本文:DeepCover Github: https://github.com/TrustAI/DeepCover Task: propose 4 novel test criteria to test DNNs Method: inspired by MC/DC cover ......
Proj CDeepFuzz Paper Reading: TensorFlow: a system for Large-Scale machine learning
## Abstract 本文:Tensorflow Github: https://github.com/tensorflow/tensorflow Task: Detail on Tensorflow dataflow model 特点: 1. operates at large scale an ......
Proj CDeepFuzz Paper Reading: SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks
## Abstract 本文：SparseProp Github: https://github.com/IST-DASLab/sparseprop Task: a back-propagation algo for sparse training data, a fast vectorized i ......
Proj CDeepFuzz Paper Reading: PyTorch: an imperative style, high-performance deep learning library
## Abstract 本文： PyTorch Task: detail the implementation and architecture of PyTorch Github: https://github.com/pytorch/pytorch 特点： 1. PyTorch同时关注可用性和速 ......
Proj CDeepFuzz Paper Reading: Software Testing with Large Language Model: Survey, Landscape, and Vision
## Abstract 本文: Task: Review on the use of LLMs in software testing Method: 1. analyzes 52 relevant studies ## 1. Intro  to induce misclassifi ......
Proj CDeepFuzz Paper Reading: Decompiling x86 Deep Neural Network Executables
## Abstract 本文: BTD github: https://github.com/monkbai/DNN-decompiler/ Task: a decompiler for DNN models to output DNN specifications including: opera ......
CF1374E2 Reading Books(hard version) 题解
# CF1374E2 Reading Books(hard version) 这道题是在 [CF1374E1 Reading Books(easy version)](https://www.luogu.com.cn/problem/CF1374E1) 的基础上出的，而且仅仅增加了一个 $m$ 的限 ......
Proj CDeepFuzz Paper Reading: Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests
## Abstract 背景：In fact, some of the latest findings suggest that the existence of adversarial attacks may be an inherent weakness of deep learning mod ......
Proj CDeepFuzz Paper Reading: NeuRI: Diversifying DNN Generation via Inductive Rule Inference
## Abstract 背景：The correctness of DL systems is crucial for trust in DL applications 本文: NeuRI BaseTool: FreeFuzz Github: https://github.com/ise-uiuc/ ......
Proj CDeepFuzz Paper Reading: Natural attack for pre-trained models of code
## Abstract 背景：目前大多数的adversarial attack method on pre-trained models of code忽略了perturbations should be natural to human judges(naturalness requirement ......
Proj CDeepFuzz Paper Reading: COMET: Coverage-guided Model Generation For Deep Learning Library Testing
## Abstract 背景：已有的方法(Muffin, Lemon, Cradle) can cover at most 34.1% layer inputs, 25.9% layer parameter values, and 15.6% layer sequences. 本文：COMET Gi ......
Proj CDeepFuzz Paper Reading: IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks
## Abstract 本文：IvySyn Task: discover memory error vulnerabilities in DL frameworks BugType: memory safety errors, fatal runtime errors Method: 1. 利用na ......
MAPF Paper Reading Note
随便写写记录一下 ## 1. 2005-Cooperative Pathfinding ### 1.1. LRA* local repair A* - 依次做A* - 即将开始碰撞时，replan - a general replan solution: 每次重规划时，新增noise，按照比例加入$ ......
Proj CDeepFuzz Paper Reading: Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
## Abstract 本文： Task: 1. prove invariance-inducing regularizers can increase predictive accuracy for worst-case spatial transformations 2. prove that ......