Archives
2021
-
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
-
深度神经网络中的持续学习 [ICML2021 Tutorial]
深度学习
Deep
Learning,
Continual
Learning
-
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
-
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
-
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
-
An Introduction to the Differential Privacy
机器学习
Differential
Privacy,
Deep
Learning,
Privacy
-
A Literature Survey on Mixup-based Methods
机器学习
Regularization,
Mixup,
Domain
Adaptation
2020
-
A Literature Survey on Domain Generalization
机器学习
Deep-Learning,
Transfer
Learning,
Domain
Adaptation
-
Reproducing Kernel Hilbert Space in Domain Adaptation
机器学习
Domain
Adaptation
-
A Brief Introduction of Domain Adaptation
机器学习
Deep-Learning
-
深度学习模型精度预测指标:ECE
论文报告
Deep-Learning
-
深度学习服务器配置——解决内网穿透问题
实用工具
Deep-Learning
-
达摩院电话面试经验分享
经验分享
Experience
2019
-
一些碎碎念
个人社论
Comments
Thoughts
-
A Survey of Semi-supervised Deep Learning Method
机器学习
Deep-Learning,
SSL
-
A Survey of Mixup Method
机器学习
Deep-Learning,
Regularization
-
VQ-VAE & VQ-VAE2 - Vector Quantization Based AutoEncoders
机器学习
Deep-Learning,
VAE
-
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
-
Some notes on Generative Adversarial Network
机器学习
VAE,GAN
-
Some Notes on the Decomposition of ELBO for VAE
机器学习
VAE
-
Some Gradient Based Methods to Visualizing and Understanding CNN
机器学习
VAE
-
Some Notes on Discrete VAE
机器学习
VAE
-
Some Evaluation Metrics in Classification Tasks
机器学习
Deep-Learning,
Evaluation
-
谈谈对即将到来的AI寒冬的看法
个人社论
Thoughts
-
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
-
From Representation Learning to VAE - A Brief History
机器学习
Variational-Inference,
Representation-Learning
-
Data Augmentation
机器学习
Data-Augmentation
-
Some notes on hierarchical vae
机器学习
Variational-Inference
-
A simple explanation of wasserstein distance
机器学习
Probability
Theory
2018
-
Denoising Criterion for Variational Autoencoding Framework
深度学习
Variational
Inference
-
Some useful tricks in training variational autoencoder
机器学习
Variational-Inference
-
Some notes on variational inference
机器学习
Variational-Inference
-
Rethinking ImageNet Pretraining
深度学习
Transfer
Learning
-
An introduction to Variational Autoencoders-Background,Loss function and Application
深度学习
Unsupervised-Learning
Feature-Extractor
-
A paper report for paper - Unsupervised Feature Learning via Non-Parametric Instance Discrimination
深度学习
Network-Architecture
-
A paper report for paper - dynamic routing between capsules
深度学习
Network-Architecture
-
A mind map for paper - a survey on deep learning in medical image analysis
深度学习
MIA
-
A tutorial of Kullback-Leibler divergence
机器学习
Probability
Theory
-
A tutorial on spectral clustering文献翻译
机器学习
Cluster
-
一个对优化算法等价于滑动平均的思考
深度学习
optimization
-
Git 学习笔记
实用工具
Git
-
Speed/accuracy trade-offs for modern convolutional object detectors 阅读笔记
深度学习
Detection
-
R-FCN:Object Detection via Region-based Fully Convolutional Networks阅读笔记
深度学习
Detection
-
Mask R-CNN 阅读笔记
深度学习
Segmentation
-
DBSCAN 学习笔记
机器学习
Cluster
-
Focal Loss阅读笔记
深度学习
Detection
-
Deep Adversarial Network 相关笔记
深度学习
Adversarial
Strategy
-
PEP8 命名风格学习
Python
Python
PEP8
-
Calculus Chap.3
经验分享
Experience
-
Must Know Tips/Tricks in Deep Neural Networks阅读笔记
深度学习
Train
Tricks
-
Deep Cluster Method阅读笔记
深度学习
Cluster
-
Deep Subspace Clustering Networks阅读笔记
深度学习
Cluster
-
Group Normalization 阅读笔记
深度学习
Normalization
2017
-
An Introduction to Machine Learning & Deep Learning
经验分享
Experience
2015
-
搁浅
个人社论
Thoughts
-
用心
个人社论
Thoughts
2014
-
两年。两年。
个人社论
Thoughts
2009
-
地理老师——一个可爱的小老太婆
个人社论
Thoughts