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identification residual learning buoyancy

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 ......
Self-attention Representation Functional attention Learning

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 ......
Representation Perspective Federated Provable Learning

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 ......
Augmenting Decompiler Variable Learned Reading

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 ......
Interaction Prediction EulerNet Adaptive Learning

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 ......
电子书 深度 learning 免费下载 电子

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 ......
Fullstack FrontendMaster developer Learning note

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 ......
Classification Supervised Regression Learning Machine

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 ......
overpopulation contraception Nonsurgical Articles Learning

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

Reward Modelling（RM）and Reinforcement Learning from Human Feedback（RLHF）for Large language models（LLM）技术初探

Reward Modelling（RM）and Reinforcement Learning from Human Feedback（RLHF）for Large language models（LLM）技术初探 ......
Reinforcement Modelling Learning Feedback language

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.] ......
Representation Recommendation Degeneration Contrastive Sequential

Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning论文阅读笔记

## 摘要 连续学习过程中的稳定性-可塑性权衡是一个重要的问题。作者提出了Auxiliary Network Continual Learning (ANCL)，通过auxiliary network提高了模型的可塑性。 ## 方法 ### The Formulation of Auxiliary ......
Stability-Plasticity Plasticity Achieving Auxiliary Stability

火山引擎DataLeap的Catalog系统搜索实践（三）：Learning to rank与后续工作

Learning to rank Learning to rank主要分为数据收集，离线训练和在线预测三个部分。搜索系统是一个Data-driven system，因此火山引擎DataLeap的Catalog系统设计之初就需要考虑数据收集。收集的数据可以用来评估和提升搜索的效果。数据收集和在线预测前 ......
火山 DataLeap Learning Catalog 引擎

Reinforcement Learning之Q-Learning - Python实现

- **算法特征** ①. 以真实reward训练Q-function; ②. 从最大Q方向更新policy $\pi$ - **算法推导** **Part Ⅰ: RL之原理** 整体交互流程如下, 定义策略函数(policy)$\pi$, 输入为状态(state)$s$, 输出为动作(action ......
Learning Reinforcement Q-Learning Python

WebSocket-Learning-1

#### WebSocket ##### 1.什么是WebSocket >> WebSocket 是一种通讯协议，目标就是替代XmlHttpRequest 和长期轮询的解决方案。应用在实时弹幕、消息推送、棋牌游戏、聊天等需要及时通讯的场景。 ##### 2.WebSocket 连接有两个阶段 >>握 ......
WebSocket-Learning WebSocket Learning

强化学习基础篇[2]：SARSA、Q-learning算法简介、应用举例、优缺点分析

# 强化学习基础篇[2]：SARSA、Q-learning算法简介、应用举例、优缺点分析 # 1.SARSA SARSA（State-Action-Reward-State-Action）是一个学习马尔可夫决策过程策略的算法，通常应用于机器学习和强化学习学习领域中。它由Rummery 和 Niran ......
优缺点 算法 Q-learning learning 基础

Machine Learning 【note_02】

# note_02 Keywords: Classification, Logistic Regression, Overfitting, Regularization ## 1 Motivation Classification: - "binary classification": $y$ ca ......
Learning Machine note 02
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