526互联

representations unsupervised contrastive debiased

[论文阅读] DGFont++ Robust Deformable Generative Networks for Unsupervised Font Generation

## Pre title: DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation accepted: Arxiv 2022 paper: https://arxiv.org/abs/2212. ......
Unsupervised Deformable Generative Generation Networks

Oceans on a Shoestring: Shape Representation, Meshing and Shading(低成本的海洋：形状表示、网格划分和着色)-2013年

作者：Huw Bowles 单位：Studio Gobo Introduction(简介)：Studio Gobo is a small team of talented developers based in Brighton / UK The Crew(成员)：Ben Andrews, Paul ......
网格 Representation Shoestring 形状 海洋

生成中间代码IR（intermediate representation）

完成以上步骤后就开始生成中间代码IR了，代码生成器（Code Generation）会将语法树自顶向下遍历逐步翻译成LLVM IR。OC代码在这一步会进行runtime的桥接，比如property合成、ARC处理等。 IR的基本语法 @ 全局标识 % 局部标识 alloca 开辟空间 align 内 ......
representation intermediate 代码

Do Transformers Really Perform Badly for Graph Representation

Ying C., Cai T., Luo S., Zheng S., Ke D., Shen Y. and Liu T. Do transformers really perform badly for graph representation? NIPS, 2021. 概 本文提出了一种基于图的 ......
Representation Transformers Perform Really Badly

DYNAMICS-AWARE UNSUPERVISED DISCOVERY OF SKILLS

**发表时间：**2020（ICLR2020） **文章要点：**这篇文章提出了一个无监督的model-based的学习算法Dynamics-Aware Discovery of Skills (DADS)，可以同时发现可预测的行为以及学习他们的dynamics。然后对于新任务，可以直接用zero- ......
DYNAMICS-AWARE UNSUPERVISED DISCOVERY DYNAMICS SKILLS

论文解读（ID-MixGCL）《ID-MixGCL: Identity Mixup for Graph Contrastive Learning》

论文信息 论文标题：ID-MixGCL: Identity Mixup for Graph Contrastive Learning论文作者：Gehang Zhang.....论文来源：2023 aRxiv论文地址：download 论文代码：download视屏讲解：click 介绍 ......
ID-MixGCL MixGCL Contrastive Identity Learning

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation

Gupta U., Ferber A. M., Dilkina B. and Steeg G. V. Controllable guarantees for fair outcomes via contrastive information estimation. AAAI, 2021. 概 本文提 ......
Controllable Contrastive Information Guarantees Estimation

迁移学习（VMT）《Virtual Mixup Training for Unsupervised Domain Adaptation》

论文信息 论文标题：Virtual Mixup Training for Unsupervised Domain Adaptation论文作者：Takeru Miyato, S. Maeda, Masanori Koyama, S. Ishii论文来源：2019 CVPR论文地址：download  ......
Unsupervised Adaptation Training Virtual Domain

Representation Learning for Attributed Multiplex Heterogeneous Network

Cen Y., Zou X., Zhang J., Yang H., Zhou J. and Tang J. Representation learning for attributed multiplex heterogeneous network. KDD, 2019. 概 本文在 Attrib ......
Representation Heterogeneous Attributed Multiplex Learning

NEQR: novel enhanced quantum representation

Reference： Zhang, Y., Lu, K., Gao, Y. et al. NEQR: a novel enhanced quantum representation of digital images. Quantum Inf Process 12, 2833–2860 (2013)... ......
representation enhanced quantum novel NEQR

2022AAAI_Semantically Contrastive Learning for Low-light Image Enhancement(SCL_LLE)

1. motivation 利用语义对比学习 2. network (1) 输入的是低光图像首先经过图像增强的网络（Zero-DCE), 再将它传入语义分割网络中 （2）语义分割网络用的是DeepLabv3+ ......
AAAI_Semantically Semantically Contrastive Enhancement Low-light

迁移学习（MEnsA）《MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds》

论文信息 论文标题：MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds论文作者：Ashish Sinha, Jonghyun Choi论文来源：2023 C ......
MEnsA Unsupervised Adaptation Ensemble Average

猛读论文13 |【CVPR 2022 UDA】Unleashing Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification

动机 解决（1）对比学习管道中的增强通常会扭曲人物图像中的判别线索（2）细粒度的局部特征人物图像尚未得到充分探索。 思路 方法 ......
Re-Identification Intra-Identity Identification Regularization Pre-Training

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

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

摘要 提出SimCLR，用于视觉表征的对比学习，简化了最近提出的对比自监督学习算法，为了理解是什么使对比预测任务能够学习有用的表示，系统研究了提出框架的主要组成部分，发现： （1）数据增强的组成在定义有效的预测任务中起着关键的作用 （2）在表示和对比损失之间引入一个可学习的非线性变换，大大提高了已学 ......
Representation Segmentation Multimodal Modalities Learning

迁移学习（CLDA）《CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation》

论文信息 论文标题：CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation论文作者：Ankit Singh论文来源：NeurIPS 2021论文地址：download 论文代码：download视屏讲解：click 1 简介 ......
CLDA Semi-Supervised Contrastive Adaptation Supervised

Deep graph clustering with enhanced feature representations for community detection

论文阅读03-EFR-DGC:Enhanced Feature Representations for Deep Graph Clustering 论文信息 论文地址：Deep graph clustering with enhanced feature representations for co ......
representations clustering community detection enhanced

【论文阅读笔记】iCaRL: Incremental Classifier and Representation Learning

Author: Alexander Kolesnikov Key_words: nearest-mean-of-exemplar rule, prioritized exampler selection,representation learning Create_time: September 1 ......
Representation Incremental Classifier Learning 笔记

异常检测 | 迁移学习《Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning》

论文信息 论文标题：Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning论文作者：Abhay Rawat, Isha Dua, Saurav Gupta, Rahul Tallamraju ......
Contrastive Supervised Detection Learning Anomaly

迁移学习《Efficient and Robust Pseudo-Labeling for Unsupervised Domain Adaptation》

论文信息 论文标题：Efficient and Robust Pseudo-Labeling for Unsupervised Domain Adaptation论文作者：Hochang Rhee、Nam Ik Cho论文来源：2019——ICML论文地址：download 论文代码：downloa ......
Pseudo-Labeling Unsupervised Adaptation Efficient Labeling

迁移学习《Asymmetric Tri-training for Unsupervised Domain Adaptation》

论文信息 论文标题：Asymmetric Tri-training for Unsupervised Domain Adaptation论文作者：Kuniaki Saito, Y. Ushiku, T. Harada论文来源：27 February 2017——ICML论文地址：download 论 ......
Tri-training Unsupervised Asymmetric Adaptation training

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 ......
Unsupervised Intra-Class Adaptation Similarity Improving

迁移学习（DCCL）《Domain Confused Contrastive Learning for Unsupervised Domain Adaptation》

论文信息 论文标题：Domain Confused Contrastive Learning for Unsupervised Domain Adaptation论文作者：Quanyu Long, Tianze Luo, Wenya Wang and Sinno Jialin Pan论文来源：NAA ......
Domain Unsupervised Contrastive Adaptation Confused

【论文精读 - DDPM】Deep Unsupervised Learning using Nonequilibrium Thermodynamics

数学推导【转载】 数学推导过程来自苏剑林大神的《生成扩散模型漫谈》系列，感谢苏神的无私奉献，让我这样数学功底不好的人也能领略这个当下最为火爆的模型的精髓。 系列中有部分步骤，一眼看过去可能有些费解，所以这里稍微做了展开，作为自己的笔记用。 通俗解释：DDPM=拆楼+建楼 生成模型实际上就是：随机噪声 ......
Nonequilibrium Thermodynamics Unsupervised Learning 论文

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

Spatio-Temporal Representation With Deep Neural Recurrent Network in MIMO CSI Feedback阅读笔记

阅读文献《Spatio-Temporal Representation With Deep Neural Recurrent Network in MIMO CSI Feedback》 ​ 该文献的作者是天津大学的吴华明老师，在2020年5月发表于IEEE WIRELESS COMMUNICATIO ......
Spatio-Temporal Representation Recurrent Feedback Temporal

迁移学习（PCL）《PCL: Proxy-based Contrastive Learning for Domain Generalization》

论文信息 论文标题：PCL: Proxy-based Contrastive Learning for Domain Generalization论文作者：论文来源：论文地址：download 论文代码：download引用次数： 1 前言 域泛化是指从一组不同的源域中训练一个模型，可以直接推广到不 ......
Generalization Contrastive Proxy-based PCL Learning

JSON parse error: Cannot deserialize value of type `java.util.Date` from String not a valid representation

日志 Resolved [org.springframework.http.converter.HttpMessageNotReadableException: JSON parse error: Cannot deserialize value of type `java.util.Date` f ......
representation deserialize Cannot String parse

Debiased Contrastive Learning of Unsupervised Sentence Representations 论文精读

ACL2022-long paper 原文地址 1. 介绍(Introduction) 问题: 由PLM编码得到的句子表示在方向上分布不均匀, 在向量空间中占据一个狭窄的锥形区域, 这在很大程度上限制了它们的表达能力. 已有的解决办法: 对比学习. 对于一个原句, 构造他的正例(语义相似的句子)和负 ......
Representations Unsupervised Contrastive Debiased Learning

迁移学习（JDDA） 《Joint domain alignment and discriminative feature learning for unsupervised deep domain adaptation》

论文信息 论文标题：Joint domain alignment and discriminative feature learning for unsupervised deep domain adaptation论文作者：Chao Chen , Zhihong Chen , Boyuan Jia ......
domain discriminative unsupervised adaptation alignment
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