Comments (5)
We jointly train the dual-encoders and PQ in two stages.
In the first stage, we use RepCONC for joint optimization. The index assignments are not fixed.
In the second stage, we fix the index assignments and uses JPQ to further train the query encoder and PQ centroids.
from repconc.
Thanks. Just for clarification.
1] So, in JPQ paper, does the training happen in a single stage which uses dynamic hard negatives? And is this equivalent to RepCONC's 2nd training stage?
2] Is fixing the index assignments necessary in the second stage? If yes, why is that? Because of dynamic negative sampling?
from repconc.
[1] Yes, JPQ is a single-stage training method and is equivalent to RepCONC's 2nd training stage.
[2] Yes, it is necessary because of dynamic hard negative sampling.
from repconc.
Does this mean that the uniform clustering constraint is not a part of training stage-2? As much as I have understood, calculating the posterior distribution q(j | di) using sinkhorn_algorithm is used to help choose centroids more uniformly, so that the centroid distribution does not get skewed during training. But if the index assignments are fixed, then the centroid distribution is also fixed. So that would mean that q (and the sinkhorn_algorithm) are not a part of 2nd stage training.
from repconc.
Yes, you are right.
from repconc.
Related Issues (5)
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 repconc.