self-consistency consistency reasoning improves
Query2box Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
[TOC] > [Ren H., Hu W. and Leskovec J. Query2box: Reasoning over knowledge graphs in vector space using box embeddings. ICLR, 2020.](http://arxiv.org/ ......
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias 论文阅读
# LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias 论文阅读 KDD 2023 [原文地址](https://arxiv.org/abs/2307.02912) ## Introd ......
《ReAct: SYNERGIZING REASONING AND ACTING IN LANGUAGE MODELS》论文学习
一、论文主要思想 本文首先认为，到目前为止，LLM 在语言理解方面令人印象深刻，它们已被用来生成 CoT（思想链）来解决一些问题，它们也被用于执行和计划生成。 尽管这两者是分开研究的，但本文旨在以交错的方式将推理和行动结合起来，以提高LLM的表现。 这个想法背后的原因是，如果你考虑一下作为一个人，你 ......
pycharm中的gihub copilot中报错Sign in failed. Reason: Request signInInitiate failed with message: getaddri无法使用问题
pycharm中的gihub copilot中报错Sign in failed. Reason: Request signInInitiate failed with message: getaddri无法使用问题 解决方法:idea打开我们的插件 settings-plugins-找到插件，点击h ......
使用Postman的Get请求遇到："type": "parsing_exception","reason": "Unknown key for a START_OBJECT in [mappings].",的问题
**错误如图**  **原因** postman自身的的bug问题。body里面写了json参数，结果postma ......
Muesli: Combining Improvements in Policy Optimization
 **发表时间：**2021（ICML 2021） **文章要点：**这篇文章提出一个更新policy的方式，结合 ......
Self-consistency Improves Chain of Thought Reasoning in Language Models 论文阅读
ICLR 2023 [原文地址](https://arxiv.org/abs/2203.11171) ## 1. Motivation Chain-of-Thought(CoT)使Large Language Models(LLMs)在复杂的推理任务中取得了令人鼓舞的结果。 本文提出了一种新的解码策 ......
POLICY IMPROVEMENT BY PLANNING WITH GUMBEL
 **发表时间：**2022（ICLR 2022） **文章要点：**AlphaZero在搜索次数很少的时候甚至动 ......
Learning with Local and Global Consistency
[TOC] > [Zhou D., Bousquet O., Lal T. N., Weston J. and Scholk\ddot{o}pf B. Learning with local and global consistency. NIPS, 2003.](https://proceedin ......
June 2021-Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp
本文建议通过对连续transition进行线性插值来合成新的transition用于训练。为了保持构建的transition的真实性，还开发了一个鉴别器来自动指导构建过程 ......
May 2022-Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
提出了邻域混合经验回放(NMER)，一种基于几何的回放缓冲区，用状态-动作空间中最近邻的transition进行插值。NMER仅通过混合transition与邻近状态-动作特征来保持trnaistion流形的局部线性近似。 ......
Consistency Models终结扩散模型
最近看到一篇论文，觉得特别有意思，并且在学术界引起了不小的动静，他就是一致性模型，据说图像生成效果快、质量高，并且还可以实现零样本图像编辑，即不进行一些视觉任务训练，可以实现图像超分、修复、上色等功能。 目前代码已经开源到GitHub上面：https://github.com/openai/cons ......
opensslErrorStack: [ 'error:03000086:digital envelope routines::initialization error' ], library: 'digital envelope routines', reason: 'unsupported', code: 'ERR_OSSL_EVP_UNSUPPORTED'
原因：node版本与openssl 不兼容导致的初始化失败 解决： windows执行：set NODE_OPTIONS openssl-legacy-provider mac执行：export NODE_OPTIONS openssl-legacy-provider ......
Cycle GAN：Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
paper：https://arxiv.org/pdf/1703.10593.pdf [2017] code 参考： https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix https://zhuanlan.zhihu.com/p/792211 ......
【五期邹昱夫】arXiv(22)iDLG: Improved Deep Leakage from Gradients
"Zhao B, Mopuri K R, Bilen H. idlg: Improved deep leakage from gradients[J]. arXiv preprint arXiv:2001.02610, 2020." 本文发现共享梯度肯定会泄露数据真实标签。我们提出了一种简单但可靠的 ......
rabbitmq报错 无法连接到RabbitMQ: Exception (403) Reason: "no access to this vhost"
##可能原因 ###如果你连接的 mq 需要指定vhost，八成就是下面这个问题 ##解决方法 amqp.Dial("amqp://guest:guest@127.0.0.1:5672//dlyp") ###可以用下面这段代码测试 package main import ( "fmt" "githu ......
How to improve the accuracy of Tesseract OCR
Preprocess the image: Preprocessing involves applying various techniques to the image to enhance its quality and make it easier for the OCR engine to ......
Salt formation: an effective means to improve the physical and chemical properties of drug molecules and enhance the druggability of drugs
Salt formation is one of the effective means to improve the physicochemical properties of drug molecules and enhance drug-forming properties. ......
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 ......
[Javascript] Improve performance of Array.reduce
Compare two code snippet const people = [ {id: 1,name: 'John', age: 45}, {id: 2,name: "Op", age: 32}, {id: 3, name: "Wade",age: 39 } ] // option 1 con ......
迁移学习（TSRP）《Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation》
论文信息 论文标题：Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation论文作者：Jie Wang, Xiaoli Zhang论文来源：论文地址：download 论文代码：dow ......
EME 11 Continuous Process Improvement
Continuous Process Improvement Understand the differences between project management processes and practices Know what process and practice maturity i ......
28.MGR 重要参数group_replication_consistency
参数group_replication_consistency共 5 个值可选： 1. EVENTUAL：确保最终一致性，并不能保证数据实时同步。(MySQL 8.0.14 之前只有这一个选项) 2. BEFORE：确保本地强一致性，并不保证其他节点数据实时同步。 3. AFTER：确保全局强一致性 ......
Paper Reading: XRRF — An eXplainable Reasonably Randomised Forest algorithm for classification and regression problems
本文提出了一种 XRRF 算法，它通过执行本文提出的 SGFL 和 RRF 算法来得到可解释性、准确性和可解释性之间的权衡。随后引入了基于决策路径特征提取的方法，根据具体的应用解释模型的输出。其中 SGFL 能确定有助于模型准确性的特征，同时保持特征关系的可靠性。RRF 算法则通过利用所提出的改进随... ......
Cryptanalyzing and Improving a Novel Color Image Encryption Algorithm Using RT-Enhanced Chaotic Tent Maps
Cryptanalyzing and Improving a Novel ColorImage Encryption Algorithm Using RT-EnhancedChaotic Tent Maps 基于RT增强混沌帐篷映射的彩色图像加密算法 文章信息 博客内容仅用于学习。 CONGXU Z ......
迁移学习（IIMT）——《Improve Unsupervised Domain Adaptation with Mixup Training》
论文信息 论文标题：Improve Unsupervised Domain Adaptation with Mixup Training论文作者：Shen Yan, Huan Song, Nanxiang Li, Lincan Zou, Liu Ren论文来源：arxiv 2020论文地址：down ......