Comments (2)
The bandwidth of Gaussian kernel is set as the average distances on the pairwise samples (median heuristic) according to some domain adaptation papers, such as [a]
[a] Long, Mingsheng, et al. "Learning transferable features with deep adaptation networks." International Conference on Machine Learning. 2015.
from neural-style-mmd.
Thanks for your explanation!
from neural-style-mmd.
Related Issues (9)
- The paper might has a mistake HOT 1
- confusion in Linear Kernel Loss functions HOT 1
- Batch Processing HOT 1
- python version problem
- mmd_loss line 43 HOT 1
- Why cannot get good results with Gaussian kernel?
- Have you ever tried the setting of --bn_loss?
- gnorm = mx.nd.norm(model_executor.data_grad).asscalar()
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from neural-style-mmd.