diversifying generation cdeepfuzz inductive
[论文速览] Handwritten Text Generation from Visual Archetypes
Pre title: Handwritten Text Generation from Visual Archetypes accepted: CVPR 2023 paper: https://arxiv.org/abs/2303.15269 code: https://github.com/aim ......
5 分钟理解 Next.js SSG (Static Site Generation / Static Export)
5 分钟理解 Next.js SSG (Static Site Generation / Static Export) 在本篇文章中，我们将介绍 Next.js 中的 SSG（静态网站生成）功能，以及它是如何工作的。我们将介绍 SSG 的基本概念，以及在 Next.js 中如何使用 Server C ......
GENERATED_BODY()函数是什么？
会发现它是一个宏定义 // Include a redundant semicolon at the end of the generated code block, so that intellisense parsers can start parsing // a new declaratio ......
Generative AI 新世界 | 扩散模型原理的代码实践之采样篇
在上一期的文章中，探讨了在 Amazon SageMaker Studio 上使用 QLoRA 等量化技术微调 Falcon 40B 大语言模型。而从本期开始，我们将一起尝试在更深的知识维度，继续探究生成式 AI 这一火热的新知识领域。 亚马逊云科技开发者社区为开发者们提供全球的开发技术资源。这里有 ......
from sklearn.datasets.samples_generator import make_blobs
from sklearn.datasets.samples_generator import make_blobs make_blobs方法:sklearn.datasets.make_blobs(n_samples=100,n_features=2,centers=3, cluster_std=1 ......
Quantitative Relationship Induction
数量关系是指事物之间的数值或数量之间的相互关系（+、-、*、/）。 数量关系描述各种量的变化和相互关系。数量关系可以包括数值的比较、增减、比例、百分比、平均值等方面。 在数学中，数量关系可以通过代数方程、不等式、函数等数学工具来表示和解决。例如，通过方程可以描述两个量的等值关系，通过不等式可以表示两 ......
[885] How to generate automated tables in Word document with Python
ref: How to Generate Automated Word Documents with Python ref: docxtpl快速上手使用,数据填入以及循环写入表格 Creating a Template Before you can proceed, you must first c ......
[884] How to generate automated Word documents by Python
ref: python-docx ref: How to Generate Automated Word Documents with Python ref: Automating Word Documents from Excel Using Python | ‘docxtpl’ Tutorial ......
MybatisX-Generator自动代码生成插件
一、概述 MybatisX-Generator是mybatis-plus的代码自动生成插件，用在idea的开发工具上，我们可以idea上安装这个插件，然后通过idea自带的数据库进行使用，打开idea的数据库database，链接一个数据库，然后对你要进行代码生成的表进行右击，就可以看到这个插件，如 ......
VSCode - Go: Generate Unit Tests for Function
Right click the function name. Select item 'Go: Generate Unit Tests for Function' in the pop-up menu: A test file named <file name>_test.go is generat ......
golang工具值generate
示例: 大家经常碰到命名错误码、状态码的同时，又要同步写码对应的翻译，有没有感觉很无聊。这里举一个例子： package main import "fmt" // 定义错误码 const ( ERR_CODE_OK = 0 // OK ERR_CODE_INVALID_PARAMS = 1 ......
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models 阅读笔记（11.2） 摘要：优化MSE指标通常会导致模糊，特别是在高方差(详细)区域。我们提出了一种基于创建正确降尺度的 ......
安装CentOS7 解决错误信息:Warning: /deu/root does not exist Generating
在给一台老旧的 Dell R710安装CentOS7 时发现的一个错误 "Warning: /deu/root does not exist Generating" 看了好多的解决办法.总结来说出现此错误可以理解为 未找到安装系统盘的位置 未能找到引导 我所导致出现这个错误的原因比较奇葩 跟在网上查 ......
开课吧前端1期.阶段2：ES6详解-4 Promise generator-认识生成器函数 generator-yield
10、Promise Promise -- 承诺 异步: 操作之间没啥关系，同时进行多个操作 同步: 同时只能做一件事 优缺点 异步：代码更复杂 同步：代码简单 //比如我要请求4个数据，真正生产还要判断，没法看了，缩进 //异步：特别麻烦 ajax('/banners',function(bann ......
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 ......
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 ......
《PROMPT2MODEL: Generating Deployable Models from Natural Language Instructions》论文学习
一、Introduction 传统上，从零开始构建一个自然语言处理（NLP）模型是一项重大任务。一个寻求解决新问题的NLP从业者需要定义他们的任务范围，找到或创建目标任务领域的行为数据，选择合适的模型架构，训练模型，通过评估评估其性能，然后将其部署到实际应用中。 Prompt2Model is a ......
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 ......
Induction of Design Pattern
网上查到的设计模式有23种，通过归纳去认识他们也是一种不错的视角。 我这边不按照主流的观点去划分为创建型、结构型、行为型三大类，我只归纳为创建型（Creational Class）、简单功能场景（Simple Method Class）、复杂功能场景（Complex Method Class）三大类 ......
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 ......