526互联

cross-domain adversarial sentiment analysis

Robust Deep Reinforcement Learning through Adversarial Loss

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！ 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Abstract 最近的研究表明，深度强化学习智能体很容易受到智能体输入上的小对抗性扰动的影响 ......
Reinforcement Adversarial Learning through Robust

[Pix2Pix] Image-to-Image Translation with Conditional Adversarial NetWorks

paper：https://arxiv.org/pdf/1611.07004.pdf [CVPR 2017] code： https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix https://phillipi.github.io/pix2pi ......
Image Image-to-Image Conditional Adversarial Translation

《Generative Adversarial Nets》论文精读

#论文精读《Generative Adversarial Nets》 导言：生成模型是目前爆火的一个研究方向，据Microsoft对于ChatGPT-4的研究称“ChatGPT-4可以看成是通用型人工智能(AGI)的早期版本；其独特的推理能力和理解语义能力迅速在全球掀起了大模型研究的一股热潮。不仅仅 ......
Adversarial Generative 论文 Nets

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

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！ NeurIPS 2020 ......
Reinforcement Perturbations Observations Adversarial Learning

论文解读《Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy》

论文信息 论文标题：Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy论文作者：Alex LambVikas VermaKenji Kawa ......
Interpolated Adversarial sacrificing Achieving Training

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 ......
Cycle Image Cycle-Consistent Image-to-Image Adversarial

use a script run by gromacs to analysis protein protein complex dynamic

using gromacs to write a script for protein-protein complex moleculer dynamics from force field selection to trajectory analyze step by step，and give ......
protein analysis gromacs complex dynamic

Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness

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！ ......
Reinforcement Adversarial Redefining Robustness Learning

论文解读（VAT）《Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning》

论文信息 论文标题：Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning论文作者：Takeru Miyato, S. Maeda, Masanori Koya ......
Supervised Semi-Supervised Regularization Adversarial Training

论文解读（PGD）《Towards deep learning models resistant to adversarial attacks》

论文信息 论文标题：Towards deep learning models resistant to adversarial attacks论文作者：Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Ad ......
adversarial resistant learning Towards attacks

论文解读（FGSM）《Explaining and Harnessing Adversarial Examples》

论文信息 论文标题：Explaining and Harnessing Adversarial Examples论文作者：Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy论文来源：ICLR 2015论文地址：download 论文代码：dow ......
Adversarial Explaining Harnessing Examples 论文

迁移学习（PAT）《Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation》

论文信息 论文标题：Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation论文作者：Weili Shi, Ronghang Zhu, Sheng Li论文来源：KDD 2022论文地址：dow ......
Class-imbalanced Unsupervised Adversarial Adaptation imbalanced

30th@OEIS_analysis.py@20230413

OEIS_analysis.py 20230413 For further information about the format of replies received from the database, click here. See also the hints file for furt ......
OEIS_analysis 20230413 analysis OEIS 30

vite写jsx语法报错： [vite] Internal server error: Failed to parse source for import analysis because the content contains invalid JS syntax. If you use tsconfig.json, make sure to not set jsx to preserve.

1.安装vite的jsx包 npm i @vitejs/plugin-vue-jsx --save 2.安装所有依赖 npm i 3.在vite.config.ts中配置 import { defineConfig } from 'vite'; import vue from '@vitejs/pl ......
vite 语法 jsx Internal analysis

论文解读（ FGSM）《Adversarial training methods for semi-supervised text classification》

论文信息 论文标题：Adversarial training methods for semi-supervised text classification论文作者：Taekyung Kim论文来源：ICLR 2017论文地址：download 论文代码：download视屏讲解：click 1 背 ......
semi-supervised classification Adversarial supervised training

SQL SERVER ANALYSIS SERVICES决策树、聚类、关联规则挖掘分析电商购物网站的用户行为数据

全文链接：http://tecdat.cn/?p=32118 原文出处：拓端数据部落公众号 假如你有一个购物类的网站，那么你如何给你的客户来推荐产品呢？这个功能在很多电商类网站都有，那么，通过SQL Server Analysis Services的数据挖掘功能，你也可以轻松的来构建类似的功能。 将 ......
购物网站 ANALYSIS SERVICES 规则 行为

06.Sentiment Analysis Based on Deep Learning: A Comparative Study

Sentiment Analysis Based on Deep Learning: A Comparative Study 深度学习的情感分析的比较研究 目前在社交网络中的情绪分析已经成为了解用户意见的有力手段，并有着广泛应用。然而情感分析的效率和准确性受到自然语言处理中遇到的挑战和障碍 本问综述 ......
Comparative Sentiment Analysis Learning Based

迁移学习（CDA）《CDA:Contrastive-adversarial Domain Adaptation 》

论文信息 论文标题：CDA:Contrastive-adversarial Domain Adaptation论文作者：Nishant Yadav, M. Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, A. Ganguly论文来源：202 ......
Contrastive-adversarial Contrastive adversarial Adaptation CDA

迁移学习（SOT）《Cross-domain Activity Recognition via Substructural Optimal Transport》

论文信息 论文标题：Cross-domain Activity Recognition via Substructural Optimal Transport论文作者：Wang Lu, Yiqiang Chen, Jindong Wang, Xin Qin论文来源：Neurocomputing论文地 ......
Substructural Cross-domain Recognition Transport Activity

Time Series Analysis (Best MSE Predictor & Best Linear Predictor)

Time Series Analysis Best MSE (Mean Square Error) Predictor 对于所有可能的预测函数 $f(X_{n})$，找到一个使 $\mathbb{E}\big[\big(X_{n} - f(X_{n})\big)^{2} \big]$ 最小的 $f$ ......
Predictor Best Analysis Series Linear

迁移学习（ADDA）《Adversarial Discriminative Domain Adaptation》【已复现迁移】

论文信息 论文标题：Adversarial Discriminative Domain Adaptation论文作者：Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell论文来源：CVPR 2017论文地址：download 论文代码：downl ......
Discriminative Adversarial Adaptation Domain ADDA

虚假新闻检测-迁移学习（CADM）《Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup》

论文信息 论文标题：Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup论文作者：Huimin Zeng, Zhenrui Yue, Ziyi ......
Domain Unsupervised Adversarial Contrastive Information

【机器学习】李宏毅——Adversarial Attack（对抗攻击）

本文主要介绍了Adversarial Attack（对抗攻击）当前的研究现状，包括如何攻击、攻击的类别，以及原始模型如何进行防御等相关知识点。 ......
Adversarial 机器 Attack
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