learning

Introduction of Deep Reinforcement Learning

Reading Notes about the book Deep Reinforcement Learning written by Aske Plaat Recently, I have been reading the book Deep Reinforcement Learning writ ......

Reinforcement Introduction Learning Deep of更新时间 2023-10-30

Tabular Value-Based Reinforcement Learning

Reading Notes about the book Deep Reinforcement Learning written by Aske Plaat Recently, I have been reading the book Deep Reinforcement Learning writ ......

Reinforcement Value-Based Learning Tabular Based更新时间 2023-10-30

learn-ue-ui

learn ue ui Created: 2023-10-24T15:29+08:00 Published: 2023-10-25T12:47+08:00 目录IntroWidgetsText Box(Multi-Line) Intro User Interface Development - Un ......

learn-ue-ui learn ue ui更新时间 2023-10-25

[论文阅读] PCL: Proxy-based Contrastive Learning for Domain Generalization

PCL: Proxy-based Contrastive Learning for Domain Generalization abstract 领域泛化是指从不同源领域的集合中训练模型，该模型可以直接泛化到未见过的目标领域的问题。一种有前途的解决方案是对比学习，它试图通过利用不同领域之间的样本对之 ......

Generalization Contrastive Proxy-based Learning Domain更新时间 2023-10-25

深度学习调参手册（Deep Learning Tuning Playbook）

google-research/tuning_playbook: A playbook for systematically maximizing the performance of deep learning models. (github.com) dkhonker/tuning_playbo ......

深度 Learning Playbook 手册 Tuning更新时间 2023-10-24

ST-SSL: 用于交通流量预测的时空自监督学习《Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction》(交通流量预测、自监督)

2023年10月23日，继续论文，好困，想发疯。论文：Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction Github：https://github.com/Echo-Ji/ST-SSL AAAI 2023的论文 ......

流量交通 Spatio-Temporal Self-Supervised Prediction更新时间 2023-10-24

[论文速览] SimCSE@ Simple Contrastive Learning of Sentence Embeddings

Pre title: SimCSE: Simple Contrastive Learning of Sentence Embeddings accepted: EMNLP 2021 paper: https://arxiv.org/abs/2104.08821 code: https://githu ......

Contrastive Embeddings Learning Sentence SimCSE更新时间 2023-10-23

Scikit-learn 的 preprocessing.LabelEncoder函数：标签编码

参考文档：https://pythonjishu.com/sklearn-preprocessing-labelencoder/ 转换类别数据为整数：LabelEncoder 可以将字符串或其他类别型数据转换为整数。例如，如果你有一个特征包含类别 "红色"、"绿色" 和 "蓝色"，LabelEnco ......

preprocessing Scikit-learn LabelEncoder 函数编码更新时间 2023-10-20

Paper Reading: Sample and feature selecting based ensemble learning for imbalanced problems

为了克服现有集成方法的缺点，本文提出一种新的混合集成策略——样本和特征选择混合集成学习 SFSHEL。SFSHEL 考虑基于聚类的分层对大多数样本进行欠采样，并采用滑动窗口机制同时生成多样性的特征子集。然后将经过验证训练的权重分配给不同的基学习器，最后 SFSHEL 通过加权投票进行预测。SFSHE... ......

imbalanced selecting ensemble learning problems更新时间 2023-10-20

强化学习Q-Learning和DQN算法

1 Q-Learning 强化学习中有state和action的两个重要概念。而Q-Learning算法就是用来得到在state上执行action的未来预期奖励。具体的算法流程如下：初始化一个Q-table。在当前状态\(s\)选择一个动作\(a\)。执行动作\(a\)，转移到新的状态\(s' ......

算法 Q-Learning Learning DQN更新时间 2023-10-20

Learn Git in 30 days—— 第 30 天：分享工作中几个好用的 Git 操作技巧

写的非常好的一个Git系列文章，强烈推荐原文链接：https://github.com/doggy8088/Learn-Git-in-30-days/tree/master/zh-cn 终于来到了最后一天，这篇文章将分享几个好用的 Git 操作技巧，或许可以节省你不少 Git 版控过程的时间。如 ......

Git 技巧 Learn 30 days更新时间 2023-10-18

Robust Graph Representation Learning via Neural Sparsification

目录概符号说明NeuralSparse Zheng C., Zong B., Cheng W., Song D., Ni J., Yu W., Chen H. and Wang W. Robust graph representation learning via neural sparsifica ......

Representation Sparsification Learning Robust Neural更新时间 2023-10-18

论文阅读 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

原始题目：Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection 中文翻译：Generalized Focal Loss：学习用于密集目标检测的 Qual ......

Generalized Distributed Detection Qualified Bounding更新时间 2023-10-18

Meta Learning概述

Meta Learning概述（一）回顾Machine Learning 定义一个function（神经网络等），该function上有很多参数，参数统一定义为θ，对于一个猫狗分类器来说，当猫狗的图片经过f(θ)时，函数会输出一个猫或狗的结果定义一个Loss function，L(θ) 使用优化 ......

Learning Meta更新时间 2023-10-17

《Deep Residual Learning for Image Recognition》阅读笔记

论文标题《Deep Residual Learning for Image Recognition》撑起CV界半边天的论文 Residual ：主要思想，残差。作者何恺明，超级大佬。微软亚研院属实是人才辈出的地方。初读摘要提问题：更深层次的神经网络更难训练。提方案：提出了残差网络 ......

Recognition Residual Learning 笔记 Image更新时间 2023-10-17

Sequence to Sequence Learning with Neural Networks

Sequence to Sequence Learning with Neural Networks 关键词：LSTM，Seq2Seq 📜 研究主题采用深度神经网络DNN 使用LSTM，并翻转输入句子顺序提升性能 ✨创新点：更换seq2seq中RNN单元为LSTM，有提升对长句子训练速度的可能 ......

Sequence Learning Networks Neural with更新时间 2023-10-16

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation 关键词：GRU、Encoder-Decoder 📜 研究主题提出了Encoder-Decoder结构，采用两 ......

Encoder-Decoder Representations Statistical Translation Learning更新时间 2023-10-16

数字人论文:Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion

老规矩. 直接第三章 3. 端到端网络结构给一个audio 短窗口, 也就是片段. 我们预测窗口中间时刻的面部表情. 我们把表情看做一个全端点的向量 (后面我们会看这是什么的一种刻画面部) 一旦我们网络训完, 我们回各个时间点同时生成, 并行. 即使不需要过去的帧画面, 依然生成很稳定的画面. ( ......

Audio-Driven End-to-End Animation End Learning更新时间 2023-10-15

【PRC】鲁棒跨域伪标记和对比学习的无监督域自适应NIR-VIS人脸识别 Robust Cross-Domain Pseudo-Labeling and Contrastive Learning for Unsupervised Domain Adaptation NIR-VIS Face Recognition

【该文章为杨学长的文章，膜拜】探索跨领域数据中的内在关系并学习领域不变表示由于需要在低光照条件下实现24h的人脸识别，近红外加可见光的(NIR-VIS)人脸识别受到了更多的关注。但是数据标注是一个难点。该文章提出了Robust crossdomain Pseudo-labeling and Co ......

NIR-VIS Domain 人脸 Pseudo-Labeling Cross-Domain更新时间 2023-10-15

共463篇 :5/16页 首页上一页2345678下一页尾页

526互联

learning

Introduction of Deep Reinforcement Learning

Tabular Value-Based Reinforcement Learning

learn-ue-ui

[论文阅读] PCL: Proxy-based Contrastive Learning for Domain Generalization

深度学习调参手册（Deep Learning Tuning Playbook）

ST-SSL: 用于交通流量预测的时空自监督学习《Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction》(交通流量预测、自监督)

[论文速览] SimCSE@ Simple Contrastive Learning of Sentence Embeddings

Scikit-learn 的 preprocessing.LabelEncoder函数：标签编码

Paper Reading: Sample and feature selecting based ensemble learning for imbalanced problems

强化学习Q-Learning和DQN算法

Learn Git in 30 days—— 第 30 天：分享工作中几个好用的 Git 操作技巧

Robust Graph Representation Learning via Neural Sparsification

论文阅读 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

Meta Learning概述

《Deep Residual Learning for Image Recognition》阅读笔记

Sequence to Sequence Learning with Neural Networks

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

数字人论文:Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion

【PRC】鲁棒跨域伪标记和对比学习的无监督域自适应NIR-VIS人脸识别 Robust Cross-Domain Pseudo-Labeling and Contrastive Learning for Unsupervised Domain Adaptation NIR-VIS Face Recognition

Deep Learning —— 异步优化器 —— RMSpropAsync —— 异步RMSprop

[论文精读][基于点云的蛋白-配体亲和力]A Point Cloud-Based Deep Learning Strategy for Protein-Ligand Binding Affinity Prediction

机器学习经典教材《模式识别与机器学习》，Pattern Recognition and Machine Learning，PRML官方开放免费下载

Graph Laplacian for Semi-Supervised Learning

A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions论文阅读笔记

【论文笔记】A theory of learning from different domains

Prom Learn

Learn Git in 30 days—— 第 29 天：如何将 Subversion 项目汇入到 Git 仓库

Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning论文阅读

Learn Git in 30 days—— 第 28 天：了解 GitHub 的 fork 与 pull request 版控流程

(2023年新疆大学、中科院等点云分类最新综述) Deep learning-based 3D point cloud classification: A systematic survey and outlook