Comments (5)
We have restrictions on providing trained models and this complicates full code release. Most likely we will release experiment for 2. Data-free Knowledge Transfer soon and will try to do the same for other experiments. Will keep this thread updated.
from deepinversion.
Hi, is code for knowledge distillation and Data-free Knowledge Transfer ready?
Thanks.
from deepinversion.
We have restrictions on providing trained models and this complicates full code release. Most likely we will release experiment for 2. Data-free Knowledge Transfer soon and will try to do the same for other experiments. Will keep this thread updated.
Hi. Is the code for data-free knowledge transfer ready?
Thanks!
from deepinversion.
We have restrictions on providing trained models and this complicates full code release. Most likely we will release experiment for 2. Data-free Knowledge Transfer soon and will try to do the same for other experiments. Will keep this thread updated.
Still waiting for the code.
from deepinversion.
Hi all,
Is there a full implementation of ADI (Adaptive DeepInversion) in this repository? Wouldn't I need to use knowledge distillation from teacher to student in order to enable ADI, as described in the paper?
I think the implementation of ADI provided with ImageNet experiments in this repository is incomplete (see --adi_scale option).
Can someone clarify this?
from deepinversion.
Related Issues (20)
- Why the student model is *pretrained* for ImageNet for ADI? HOT 3
- Reproducing Imagenet Knowledge Transfer Top-1 Accuracy HOT 3
- Dataset used in Data-free Knowledge Transfer HOT 1
- VGG Architectures HOT 1
- How to search for hypers on a new dataset HOT 1
- loss about segmentation task HOT 3
- Calculate batch norm statistic loss on parallel training HOT 3
- This error occur unfortunately when I run this project HOT 1
- Are there any plans for sharing KD protocoll? HOT 2
- Details about adversarial losses in the code HOT 3
- Question about R_compete term
- How to use the code for ADI? HOT 2
- AttributeError: module 'torch.cuda.amp' has no attribute 'initialize' HOT 2
- best_cost update HOT 1
- feature_statistics not used HOT 1
- Questions on the KD process on CIFAR10 dataset HOT 2
- Having trouble installing apex and getting the result for the basic snippet HOT 3
- The style of the generated images HOT 1
- What is the KD temperature in the CIFAR10 experiment HOT 2
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 deepinversion.