Tags

Adaptation

• 2021-03-05 Fri. A Literature Survey on Mixup-based Methods 机器学习 Regularization,  Mixup,  Domain  Adaptation
• 2020-11-28 Sat. A Literature Survey on Domain Generalization 机器学习 Deep-Learning,  Transfer  Learning,  Domain  Adaptation
• 2020-07-31 Fri. Reproducing Kernel Hilbert Space in Domain Adaptation 机器学习 Domain  Adaptation

Adaptation,

• 2021-09-04 Sat. PPT分享——满足隐私保护的去中心化无监督域适应范式 机器学习 Federated  Learning,  Domain  Adaptation,  Privacy
• 2021-07-04 Sun. 满足隐私保护的去中心化无监督域适应范式——KD3A [ICML2021] 机器学习 Federated  Learning,  Domain  Adaptation,  Privacy

Adversarial

• 2018-04-16 Mon. Deep Adversarial Network 相关笔记 深度学习 Adversarial  Strategy

Cluster

• 2018-04-24 Tue. A tutorial on spectral clustering文献翻译 机器学习 Cluster
• 2018-04-16 Mon. DBSCAN 学习笔记 机器学习 Cluster
• 2018-04-15 Sun. Deep Cluster Method阅读笔记 深度学习 Cluster
• 2018-04-15 Sun. Deep Subspace Clustering Networks阅读笔记 深度学习 Cluster

Comments

• 2019-11-15 Fri. 一些碎碎念 个人社论 Comments  Thoughts
• 2019-03-24 Sun. 做通货膨胀时代的多头(一)——通货膨胀，一段简史 个人社论 Comments  Thoughts

Continual

• 2021-11-10 Wed. 深度神经网络中的持续学习 [ICML2021 Tutorial] 深度学习 Deep  Learning,  Continual  Learning

Data-Augmentation

• 2019-03-17 Sun. Data Augmentation 机器学习 Data-Augmentation

Deep

• 2021-11-10 Wed. 企业级联邦学习——新算法、新范式与未来展望 [ICML2021 Talk] 深度学习 Deep  Learning,  Federated  Learning,  Privacy-preserving
• 2021-11-10 Wed. 深度神经网络中的持续学习 [ICML2021 Tutorial] 深度学习 Deep  Learning,  Continual  Learning
• 2021-05-05 Wed. An Introduction to the Differential Privacy 机器学习 Differential  Privacy,  Deep  Learning,  Privacy

Deep-Learning

• 2020-05-20 Wed. A Brief Introduction of Domain Adaptation 机器学习 Deep-Learning
• 2020-05-06 Wed. 深度学习模型精度预测指标：ECE 论文报告 Deep-Learning
• 2020-02-16 Sun. 深度学习服务器配置——解决内网穿透问题 实用工具 Deep-Learning

Deep-Learning,

• 2020-11-28 Sat. A Literature Survey on Domain Generalization 机器学习 Deep-Learning,  Transfer  Learning,  Domain  Adaptation
• 2019-07-17 Wed. A Survey of Semi-supervised Deep Learning Method 机器学习 Deep-Learning,  SSL
• 2019-07-14 Sun. A Survey of Mixup Method 机器学习 Deep-Learning,  Regularization
• 2019-07-10 Wed. VQ-VAE & VQ-VAE2 - Vector Quantization Based AutoEncoders 机器学习 Deep-Learning,  VAE
• 2019-03-29 Fri. Some Evaluation Metrics in Classification Tasks 机器学习 Deep-Learning,  Evaluation

Detection

• 2018-04-16 Mon. Speed/accuracy trade-offs for modern convolutional object detectors 阅读笔记 深度学习 Detection
• 2018-04-16 Mon. R-FCN:Object Detection via Region-based Fully Convolutional Networks阅读笔记 深度学习 Detection
• 2018-04-16 Mon. Focal Loss阅读笔记 深度学习 Detection

Differential

• 2021-11-04 Thu. 隐私保护的深度学习系统——基于高斯机制的差分隐私DL 深度学习 Differential  Privacy,  SGD,  Privacy-preserving,  Gaussian  Mechanism
• 2021-05-05 Wed. An Introduction to the Differential Privacy 机器学习 Differential  Privacy,  Deep  Learning,  Privacy

Domain

• 2021-09-04 Sat. PPT分享——满足隐私保护的去中心化无监督域适应范式 机器学习 Federated  Learning,  Domain  Adaptation,  Privacy
• 2021-07-04 Sun. 满足隐私保护的去中心化无监督域适应范式——KD3A [ICML2021] 机器学习 Federated  Learning,  Domain  Adaptation,  Privacy
• 2021-03-05 Fri. A Literature Survey on Mixup-based Methods 机器学习 Regularization,  Mixup,  Domain  Adaptation
• 2020-11-28 Sat. A Literature Survey on Domain Generalization 机器学习 Deep-Learning,  Transfer  Learning,  Domain  Adaptation
• 2020-07-31 Fri. Reproducing Kernel Hilbert Space in Domain Adaptation 机器学习 Domain  Adaptation

Evaluation

• 2019-03-29 Fri. Some Evaluation Metrics in Classification Tasks 机器学习 Deep-Learning,  Evaluation

Experience

• 2020-01-12 Sun. 达摩院电话面试经验分享 经验分享 Experience
• 2018-04-16 Mon. Calculus Chap.3 经验分享 Experience
• 2017-10-27 Fri. An Introduction to Machine Learning & Deep Learning 经验分享 Experience

Feature-Extractor

• 2018-10-15 Mon. An introduction to Variational Autoencoders-Background,Loss function and Application 深度学习 Unsupervised-Learning  Feature-Extractor

Federated

• 2021-11-10 Wed. 企业级联邦学习——新算法、新范式与未来展望 [ICML2021 Talk] 深度学习 Deep  Learning,  Federated  Learning,  Privacy-preserving
• 2021-09-04 Sat. PPT分享——满足隐私保护的去中心化无监督域适应范式 机器学习 Federated  Learning,  Domain  Adaptation,  Privacy
• 2021-07-04 Sun. 满足隐私保护的去中心化无监督域适应范式——KD3A [ICML2021] 机器学习 Federated  Learning,  Domain  Adaptation,  Privacy

Gaussian

• 2021-11-04 Thu. 隐私保护的深度学习系统——基于高斯机制的差分隐私DL 深度学习 Differential  Privacy,  SGD,  Privacy-preserving,  Gaussian  Mechanism

Git

• 2018-04-16 Mon. Git 学习笔记 实用工具 Git

Inference

• 2018-12-18 Tue. Denoising Criterion for Variational Autoencoding Framework 深度学习 Variational  Inference

Learning

• 2021-11-10 Wed. 深度神经网络中的持续学习 [ICML2021 Tutorial] 深度学习 Deep  Learning,  Continual  Learning
• 2018-10-15 Mon. Rethinking ImageNet Pretraining 深度学习 Transfer  Learning

Learning,

• 2021-11-10 Wed. 企业级联邦学习——新算法、新范式与未来展望 [ICML2021 Talk] 深度学习 Deep  Learning,  Federated  Learning,  Privacy-preserving
• 2021-11-10 Wed. 企业级联邦学习——新算法、新范式与未来展望 [ICML2021 Talk] 深度学习 Deep  Learning,  Federated  Learning,  Privacy-preserving
• 2021-11-10 Wed. 深度神经网络中的持续学习 [ICML2021 Tutorial] 深度学习 Deep  Learning,  Continual  Learning
• 2021-09-04 Sat. PPT分享——满足隐私保护的去中心化无监督域适应范式 机器学习 Federated  Learning,  Domain  Adaptation,  Privacy
• 2021-07-04 Sun. 满足隐私保护的去中心化无监督域适应范式——KD3A [ICML2021] 机器学习 Federated  Learning,  Domain  Adaptation,  Privacy
• 2021-05-05 Wed. An Introduction to the Differential Privacy 机器学习 Differential  Privacy,  Deep  Learning,  Privacy
• 2020-11-28 Sat. A Literature Survey on Domain Generalization 机器学习 Deep-Learning,  Transfer  Learning,  Domain  Adaptation

MIA

• 2018-10-10 Wed. A mind map for paper - a survey on deep learning in medical image analysis 深度学习 MIA

Mechanism

• 2021-11-04 Thu. 隐私保护的深度学习系统——基于高斯机制的差分隐私DL 深度学习 Differential  Privacy,  SGD,  Privacy-preserving,  Gaussian  Mechanism

Mixup,

• 2021-03-05 Fri. A Literature Survey on Mixup-based Methods 机器学习 Regularization,  Mixup,  Domain  Adaptation

Network-Architecture

• 2018-10-11 Thu. A paper report for paper - Unsupervised Feature Learning via Non-Parametric Instance Discrimination 深度学习 Network-Architecture
• 2018-10-11 Thu. A paper report for paper - dynamic routing between capsules 深度学习 Network-Architecture

Normalization

• 2018-04-10 Tue. Group Normalization 阅读笔记 深度学习 Normalization

PEP8

• 2018-04-16 Mon. PEP8 命名风格学习 Python Python  PEP8

Privacy

• 2021-09-04 Sat. PPT分享——满足隐私保护的去中心化无监督域适应范式 机器学习 Federated  Learning,  Domain  Adaptation,  Privacy
• 2021-07-04 Sun. 满足隐私保护的去中心化无监督域适应范式——KD3A [ICML2021] 机器学习 Federated  Learning,  Domain  Adaptation,  Privacy
• 2021-05-05 Wed. An Introduction to the Differential Privacy 机器学习 Differential  Privacy,  Deep  Learning,  Privacy

Privacy,

• 2021-11-04 Thu. 隐私保护的深度学习系统——基于高斯机制的差分隐私DL 深度学习 Differential  Privacy,  SGD,  Privacy-preserving,  Gaussian  Mechanism
• 2021-05-05 Wed. An Introduction to the Differential Privacy 机器学习 Differential  Privacy,  Deep  Learning,  Privacy

Privacy-preserving

• 2021-11-10 Wed. 企业级联邦学习——新算法、新范式与未来展望 [ICML2021 Talk] 深度学习 Deep  Learning,  Federated  Learning,  Privacy-preserving

Privacy-preserving,

• 2021-11-04 Thu. 隐私保护的深度学习系统——基于高斯机制的差分隐私DL 深度学习 Differential  Privacy,  SGD,  Privacy-preserving,  Gaussian  Mechanism

Probability

• 2019-01-13 Sun. A simple explanation of wasserstein distance 机器学习 Probability  Theory
• 2018-10-05 Fri. A tutorial of Kullback-Leibler divergence 机器学习 Probability  Theory

Python

• 2018-04-16 Mon. PEP8 命名风格学习 Python Python  PEP8

Regularization

• 2019-07-14 Sun. A Survey of Mixup Method 机器学习 Deep-Learning,  Regularization

Regularization,

• 2021-03-05 Fri. A Literature Survey on Mixup-based Methods 机器学习 Regularization,  Mixup,  Domain  Adaptation

Representation-Learning

• 2019-03-19 Tue. From Representation Learning to VAE - A Brief History 机器学习 Variational-Inference,  Representation-Learning

SGD,

• 2021-11-04 Thu. 隐私保护的深度学习系统——基于高斯机制的差分隐私DL 深度学习 Differential  Privacy,  SGD,  Privacy-preserving,  Gaussian  Mechanism

SSL

• 2019-07-17 Wed. A Survey of Semi-supervised Deep Learning Method 机器学习 Deep-Learning,  SSL

Segmentation

• 2018-04-16 Mon. Mask R-CNN 阅读笔记 深度学习 Segmentation

Strategy

• 2018-04-16 Mon. Deep Adversarial Network 相关笔记 深度学习 Adversarial  Strategy

Theory

• 2019-01-13 Sun. A simple explanation of wasserstein distance 机器学习 Probability  Theory
• 2018-10-05 Fri. A tutorial of Kullback-Leibler divergence 机器学习 Probability  Theory

Thoughts

• 2019-11-15 Fri. 一些碎碎念 个人社论 Comments  Thoughts
• 2019-03-25 Mon. 谈谈对即将到来的AI寒冬的看法 个人社论 Thoughts
• 2019-03-24 Sun. 做通货膨胀时代的多头(一)——通货膨胀，一段简史 个人社论 Comments  Thoughts
• 2015-06-15 Mon. 搁浅 个人社论 Thoughts
• 2015-02-15 Sun. 用心 个人社论 Thoughts
• 2014-12-01 Mon. 两年。两年。 个人社论 Thoughts
• 2009-06-15 Mon. 地理老师——一个可爱的小老太婆 个人社论 Thoughts

Train

• 2018-04-15 Sun. Must Know Tips/Tricks in Deep Neural Networks阅读笔记 深度学习 Train  Tricks

Transfer

• 2020-11-28 Sat. A Literature Survey on Domain Generalization 机器学习 Deep-Learning,  Transfer  Learning,  Domain  Adaptation
• 2018-10-15 Mon. Rethinking ImageNet Pretraining 深度学习 Transfer  Learning

Tricks

• 2018-04-15 Sun. Must Know Tips/Tricks in Deep Neural Networks阅读笔记 深度学习 Train  Tricks

Unsupervised-Learning

• 2018-10-15 Mon. An introduction to Variational Autoencoders-Background,Loss function and Application 深度学习 Unsupervised-Learning  Feature-Extractor

VAE

• 2019-07-10 Wed. VQ-VAE & VQ-VAE2 - Vector Quantization Based AutoEncoders 机器学习 Deep-Learning,  VAE
• 2019-04-30 Tue. Some Notes on the Decomposition of ELBO for VAE 机器学习 VAE
• 2019-04-15 Mon. Some Gradient Based Methods to Visualizing and Understanding CNN 机器学习 VAE
• 2019-04-12 Fri. Some Notes on Discrete VAE 机器学习 VAE

VAE,GAN

• 2019-05-06 Mon. Some notes on Generative Adversarial Network 机器学习 VAE,GAN

Variational

• 2018-12-18 Tue. Denoising Criterion for Variational Autoencoding Framework 深度学习 Variational  Inference

Variational-Inference

• 2019-01-18 Fri. Some notes on hierarchical vae 机器学习 Variational-Inference
• 2018-11-27 Tue. Some useful tricks in training variational autoencoder 机器学习 Variational-Inference
• 2018-11-01 Thu. Some notes on variational inference 机器学习 Variational-Inference

Variational-Inference,

• 2019-03-19 Tue. From Representation Learning to VAE - A Brief History 机器学习 Variational-Inference,  Representation-Learning

optimization

• 2018-04-16 Mon. 一个对优化算法等价于滑动平均的思考 深度学习 optimization

历史

• 2019-06-15 Sat. 陆扬：唐帝国为何会瓦解——一个老问题的新思考 个人社论 历史