526互联

convolutional importance learning networks

【论文阅读笔记】Distiling Causal Effect of Data in Class-Incremental Learning

Author: Hanwang Zhang, Xinting Hu Create_time: April 24, 2022 11:01 AM Edited_by: Huang Yujun Publisher: CVPR 2021 Org: Nanyang Technological Universi ......
Class-Incremental Incremental Distiling Learning 笔记

【论文阅读笔记】Learning to Prompt for Continual Learning

Create_time: April 27, 2022 5:21 PM Edited_by: Huang Yujun Org: Google Research, Northeastern University Learning to Prompt for Continual Learning [38 ......
Learning Continual 笔记 Prompt 论文

【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 ......
Representation Incremental Classifier Learning 笔记

迁移学习（）《Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation》

论文信息 论文标题：Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation论文作者：Taekyung Kim论文来源：2020 ECCV论文地址 ......
Semi-supervised Adaptation supervised Alignment Learning

MULTIINSTRUCT: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning

指令调优是一种新的学习范式，它可以根据指令指定的任务对预先训练好的语言模型进行微调，在各种自然语言处理任务中显示出良好的零目标性能。然而，对于视觉和多模态任务，它仍然没有被探索。在这项工作中，我们介绍了multiinstruction，这是第一个多模态指令调优基准数据集，由47个不同的多模态任务组成 ......
MULTIINSTRUCT Instruction Multi-Modal Improving Zero-Shot

解决NewBing报错【Sorry, looks like your network settings are preventing access to this feature.】

开全局，使用浏览器插件Proxy Switchy Omega进行代理 1、x2ray 软件配置 2、Proxy Switchy Omega 配置 将以下规则加入配置： *.msftconnecttest.com +proxy *.1drv +proxy *.microsoft +proxy *.aa ......
preventing settings NewBing feature network

利用强化学习Q-Learning实现最短路径算法

如果你是一名计算机专业的学生，有对图论有基本的了解，那么你一定知道一些著名的最优路径解，如Dijkstra算法、Bellman-Ford算法和a*算法(A-Star)等。 这些算法都是大佬们经过无数小时的努力才发现的，但是现在已经是人工智能的时代，强化学习算法能够为我们提出和前辈一样好的解决方案吗? ......
算法 Q-Learning Learning

异常检测 | 迁移学习《Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning》

论文信息 论文标题：Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning论文作者：Abhay Rawat, Isha Dua, Saurav Gupta, Rahul Tallamraju ......
Contrastive Supervised Detection Learning Anomaly

ubuntu安装python环境scikit-learn低版本

Ubuntu默认使用的是python3.8，要安装插件需要先安装几个依赖包 安装uwsgi需要安装gcc python3.8-dev python-dev 安装scikit-learn旧版本需要安装python3-sklearn python3-sklearn-lib这两个包，python3.8支持 ......
scikit-learn 版本 环境 ubuntu python

Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation

**发表时间：**2021（ICML 2021） **文章要点：**这篇文章提出了demonstration-conditioned reinforcement learning (DCRL)来做Few-Shot Imitation，将demonstration和当前状态作为输入，通过强化学习最大化 ......
Demonstration-Conditioned Demonstration Reinforcement Conditioned Imitation

About Spoken word poetry-----Learning journals6

In this world, poetry has many forms of expression, short and long, written on paper or carved on walls, but this time our focus is on Spoken word poe ......
journals6 Learning journals Spoken poetry

About Spoken word poetry-----Learning journals 6

In this world, poetry has many forms of expression, short and long, written on paper or carved on walls, but this time our focus is on Spoken word poe ......
Learning journals Spoken poetry About

About spoken word poetry----Learning journals 6

In this world, poetry has many forms of expression, short and long, written on paper or carved on walls, but this time our focus is on Spoken word poe ......
Learning journals spoken poetry About

Do you know the bitwise sum sample demonstrated in "Neural Networks and Deep Learning" by autor Michael Nielsen?

Do you know the bitwise sum sample demonstrated in "Neural Networks and Deep Learning" by autor Michael Nielsen? Yes, I am familiar with the bitwise s ......
quot demonstrated Networks Learning bitwise

Vulnhub之BoredHackerBlog: Social Network_Medium Socnet详细测试过程（拿到root shell)

BoredHackerBlog: Social Network 作者：jason huawen 靶机信息 名称： BoredHackerBlog: Social Network 地址： https://www.vulnhub.com/entry/boredhackerblog-social-netw ......
BoredHackerBlog Network_Medium 过程 Vulnhub Network

论文阅读笔记《Sim-to-real learning for bipedal locomotion under unsensed dynamic loads》

发表于ICRA 2022 无感知动态负载下双足运动的虚实迁移学习 ### 背景 机器人携带负载时的运动控制问题还没有得到充分的研究，尤其是动态负载。 在这项工作中，我们特别感兴趣的是动态载荷，比如一个附加的推车或液体容器，而不是简单的静态载荷，比如刚性附着的固定质量。 ......
Sim-to-real locomotion learning unsensed bipedal

Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation（阅读笔记）

空间信息引导卷积的实时RGBD语义分割（阅读笔记） 论文：Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation 复现：https://github.com/LinZhuoChen/SGNet（还 ......
Segmentation Information Convolution Real-Time Semantic

EECS 280 Project 5: Machine Learning

EECS 280 Project 5: Machine LearningDue 8:00pm Tuesday April 18, 2023. You may work alone or with a partner (partnership guidelines).Winter 2023 relea ......
Learning Project Machine EECS 280

GNN-learning-notes

GNN 学习笔记 Datetime: 2023-04-01T16:28+08:00 Categories: MachineLearning 初学者一定要看：【GNN 入门】综述篇 - 知乎用户 MxLVSX 的文章 - zhihu.com，包括频域和空域、任务类型、经典模型。 最早的 GNN，介于迭 ......
GNN-learning-notes learning notes GNN

Error occurred while running `from pyglet.gl import *`HINT: make sure you have OpenGL install. On Ubuntu, you can run 'apt-get install python-opengl'.

安装mujoco后运行可视化界面代码报错： Error occurred while running `from pyglet.gl import *`HINT: make sure you have OpenGL install. On Ubuntu, you can run 'apt-get i ......
install python-opengl you occurred apt-get

21An efficient message-authentication scheme based on edge computing for vehicular ad hoc networks

![](https://img2023.cnblogs.com/blog/1954056/202304/1954056-20230407164139367-1280910650.png) ![](https://img2023.cnblogs.com/blog/1954056/202304/1954... ......
message-authentication authentication efficient computing vehicular

Spring 使用 @Import 的好处是啥？

@Enbale模块驱动的基本原理 在我们平时使用spring的过程中，如果想要加个定时任务的功能，那么就需要加注解@EnableScheduling，如果想使用异步的功能，那就要加@EnableAsync注解，其实这类注解就是属于@Enable模块。 那么@Enable模块到底有什么功能？ 模块是指 ......
好处 Spring Import

迁移学习《Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks》

论文信息 论文标题：Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks论文作者：Dong-Hyun Lee论文来源：2013——ICML论文地址：downlo ......
Semi-Supervised Pseudo-Label Supervised Efficient Learning

当我想要使用cv2的import时，我需要这么做

不必通过pycharm导入它 我们想要使用import cv2时，我们需要在库里面导入这两个包即可： numpy 和 opencv-python 这样就可以在python程序里面用import cv2啦! ......
import cv2 cv

import按条件加载

// 报错 if (x 2) { import MyModual from './myModual'; } // 正确做法 import()加载模块成功以后，这个模块会作为一个对象，当作then方法的参数。因此，可以使用对象解构赋值的语法，获取输出接口。 import('./myModule.js' ......
条件 import

Graph Neural Networks for Link Prediction with Subgraph Sketching

Chamberlain B. P., Shirobokov S., Rossi E., Frasca F., Markovich T., Hammerla N., Bronstein M. M. Hansmire M. Graph neural networks for link predictio ......
Prediction Sketching Networks Subgraph Neural

Ioc配置——import导入配置文件

主配置文件：applicationContext.xml <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w ......
文件 import Ioc

【论文笔记 - InstructPix2Pix】InstructPix2Pix: Learning to Follow Image Editing Instructions

InstructPix2Pix和Pix2Pix是两码事。Pix2Pix使用的是GAN，而InstructPix2Pix使用的是Diffusion。鉴于目前图像生成与预训练大模型的飞速发展，即便是CycleGAN里所谓的“不可获取的”成对的数据，也可以通过预训练模型生成出来，作为数据集进行训练。Ins... ......
InstructPix2Pix InstructPix2 InstructPix 2Pix Instructions

FATE Machine Learning

OFFICE 280FATE Machine LearningCRISTIáN BRAVOOFFICE 280This week… Fairness Definition of Fairness Confounding Transparency and Explainability Shapley ......
Learning Machine FATE

Learning with Mini-Batch

我们采取一种折衷的想法，即取一部分数据，作为全部数据的代表，让神经网络从这每一批数据中学习，这里的“一部分数据”称为mini-batch，这种方法称为mini-batch学习。 ......
Mini-Batch Learning Batch with Mini
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