learning

FOSTER:Feature Boosting and Compression for Class-Incremental Learning论文阅读笔记

## 摘要 先前的类增量学习方法要么难以在稳定性-可塑性之间取得较好的平衡,要么会带来较大的计算/存储开销。受gradient boosting的启发,作者提出了一种新型的两阶段学习范式FOSTER,以逐步适应目标模型和先前的集合模型之间的残差,使得该模型能够自适应地学习新的类别。具体来说,作者首先 ......

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning---reading

# Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning reading - 攻击目标 - 安全破坏 - 完整性破坏: 逃避检测,而不影响正常的系统运行 - 可用性破坏: 使得合法用户不能正常使用系统 - 隐私 ......

Spectrum Random Masking for Generalization in Image-based Reinforcement Learning

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! ......

COMP9444 Neural Networks and Deep Learning

COMP9444 Neural Networks and Deep LearningTerm 2, 2023Project 1 - Characters and Hidden UnitDynamicsDue: Wednesday 5 July, 23:59 pmMarks: 20% of final ......
Networks Learning Neural COMP 9444

Faster sorting algorithms discovered using deep reinforcement learning

## 摘要: - `AlphaDev`模型优化排序算法,将排序算法提速70%。通过强化学习,AlphaDev发现了更加有效的算法,直接超越了科学家和工程师们几十年来的精心打磨。现在,新的算法已经成为两个标准C++编码库的一部分,每天都会被全球的程序员使用数万亿次。 ## 介绍 - 优化目标为排序算法 ......

LEARNING TO SAMPLE WITH LOCAL AND GLOBAL CONTEXTS FROM EXPERIENCE REPLAY BUFFERS

![](https://img2023.cnblogs.com/blog/1428973/202306/1428973-20230625114456465-1558069206.png) **发表时间:**2021(ICLR 2021) **文章要点:**这篇文章想说,之前的experience r ......
EXPERIENCE LEARNING CONTEXTS BUFFERS GLOBAL

How about learning medical treatment model

> Learning medical treatment models can be a great way to gain a deeper understanding of how diseases are diagnosed and treated. There are many differ ......
treatment learning medical about model

Reinforcement learning

如图1所示,强化学习中,state是环境的状态,就是observation。 图1 强化学习 一、Policy based approach learning an actor The policy based approach is to learn an actor (agent or poli ......
Reinforcement learning

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 ......

Proj. CAR Paper Reading: Augmenting Decompiler Output with Learned Variable Names and Types

## Abstract 背景: 1. decompilers难以恢复注释、variable names, custom variable types 本文: 工具:DIRTY((DecompIled variable ReTYper) 方法: postprocesses decompiled fil ......

EulerNet Adaptive Feature Interaction Learning via Euler’s Formula for CTR Prediction

[TOC] > [Tian Z., Bai T., Zhao W., Wen J. and Cao Z. Eulernet: Adaptive feature interaction learning via euler’s formula for ctr prediction. SIGIR, 20 ......

Welcome To Learn Dapper

Welcome To Learn Dapper This site is for developers who want to learn how to use Dapper - The micro ORM created by the people behind Stack Overflow. W ......
Welcome Dapper Learn To

《深度学习(deep learning)》pdf电子书免费下载

《深度学习》由全球知名的三位专家Ian Goodfellow、Yoshua Bengio 和Aaron Courville撰写,是深度学习领域奠基性的经典教材。全书的内容包括3个部分:第 1部分介绍基本的数学工具和机器学习的概念,它们是深度学习的预备知识;第 2部分系统深入地讲解现今已成熟的深度学习 ......

COMP9417 - Machine Learning

COMP9417 - Machine LearningHomework 1: Regularized Regression & NumericalOptimizationIntroduction In this homework we will explore some algorithms for ......
Learning Machine COMP 9417

选修-4-Optimization for Deep Learning

# 1. Some Nitations 在本小节开始之前,需要知道的符号含义. ![image](https://img2023.cnblogs.com/blog/2264614/202306/2264614-20230604200321926-907208090.png) # 2. What is ......
Optimization Learning Deep for

【笔记】learning git branching

git图是由子节点指向父节点(可能有多个父节点) ### git commit ![](https://img2020.cnblogs.com/blog/1172536/202007/1172536-20200715144542508-446112338.png) ### git branch ![ ......
branching learning 笔记 git

了解基于模型的元学习:Learning to Learn优化策略和Meta-Learner LSTM

摘要:本文主要为大家讲解基于模型的元学习中的Learning to Learn优化策略和Meta-Learner LSTM。 本文分享自华为云社区《深度学习应用篇-元学习[16]:基于模型的元学习-Learning to Learn优化策略、Meta-Learner LSTM》,作者:汀丶 。 1. ......
Meta-Learner Learning 模型 策略 Learner

深度学习应用篇-元学习[16]:基于模型的元学习-Learning to Learn优化策略、Meta-Learner LSTM

# 深度学习应用篇-元学习[16]:基于模型的元学习-Learning to Learn优化策略、Meta-Learner LSTM # 1.Learning to Learn Learning to Learn by Gradient Descent by Gradient Descent 提出了 ......
Meta-Learner 深度 Learning 模型 策略

[Fullstack] Learning note for Fullstack developer - FrontendMaster

Command Line 1. Navigate to your home directory cd ~ 2. Make a directory call "temp" mkdir temp 3. Move into temp cd temp 4. List the idrectory conten ......

English Learning Articles 2022-06-11 Your teen wants to get in shape this summer? What to say and when to worry

Your teen wants to get in shape this summer? What to say and when to worry | CNN If your children say they want to start exercising or working out mor ......
Articles Learning to English summer

COMP9417 Machine Learning 机器学习

COMP9417 - Machine LearningHomework 1: Regularized Regression & NumericalOptimizationIntroduction In this homework we will explore some algorithms for ......
Learning 机器 Machine COMP 9417

会议主题:Federated Learning in Healthcare

主题: Federated Learning in Healthcare日期: 2023-06-07 08:47:33录制文件:https://meeting.tencent.com/v2/cloud-record/share?id=ec65d257-69ab-4807-b670-9312fb2a5 ......
Healthcare Federated Learning 会议 主题

Supervised Machine Learning Regression and Classification - Week 1

# 1. 机器学习定义 > Field of study that gives computers the ability to learn without being explicitly programmed. -- Arthur Samuel(1959) ![](https://img2023 ......

English Learning Articles 2023-06-08 Multiple insomnia symptoms raise stroke risk in people under 50, study says

Multiple insomnia symptoms raise stroke risk in people under 50, study says If you have trouble falling asleep or staying asleep, wake up too early mo ......
Articles Learning Multiple insomnia symptoms

English Learning Articles 2023-06-07 Nonsurgical cat contraception could help curb overpopulation, study says

Nonsurgical cat contraception could help curb overpopulation, study says There are an estimated 600 million domestic cats in the world, and 80% of the ......

nature-deep learning

Title:Deep learning Authors:Yann LeCun Yoshua Bengio & Geoffrey Hinton doi:10.1038/nature14539 # 1. 概述 使用多处理层学习数据不同层次的抽象表示,在语音识别、视觉识别、目标检测,以及药物发明、基因学等 ......
nature-deep learning nature deep

2.3类神经网路训练不起来怎么办 (三):自动调整学习速率 (Learning Rate)

# 1. 自适应学习率调整(Adaptive Learning Rate) ## 1.1 为什么需要调整学习率 首先认识一个现象.Training stuck ≠ Small Gradient 训练卡住的原因不一定是因为 gradient 太小,即critical point,也有可能是因为振荡. ......
速率 网路 Learning 神经 怎么办

Learning to Pre-train Graph Neural Networks 学习如何预训练GNN

![image](https://img2023.cnblogs.com/blog/2992171/202306/2992171-20230607143536765-414002095.png) ![image](https://img2023.cnblogs.com/blog/2992171/20 ......
Pre-train Learning Networks Neural Graph

gdb_learn

# GDB ## 基本gdb命令 ### 运行有关命令 ```shell run(简写r): 运行程序,当遇到断点后,程序会在断点处停止运行,等待用户输入下一步的命令。 continue(简写c):继续执行,到下一个断点处(或运行结束) next(简写n): 单步跟踪程序,当遇到函数调用时,直接调用 ......
gdb_learn learn gdb