## On the Soft-Subnetwork for Few-Shot Class Incremental Learning
Haeyong Kang, Jaehong Yoon, Sultan Madjid, Sung Ju Hwang, Chang Yoo
Keywords: 
ICLR/2023/Proceedings/11347 - On the Soft-Subnetwork for Few-Shot Class Incremental Learning.pdf
Project URL: nan

### Implementation
_Given the documentation shared by the authors on a new method, how much effort would it be to re-implement the method from scratch?_

[3]

Authors provide a link to the implementation in the abstract (https://github.com/ihaeyong/SoftNet-FSCIL). The code has a requirements file for installation and a very brief instructions for running the code. The code has OK comments, but the structure is huge and needs an index.

### Data
_Given the data description in the documentation, how much effort would it take to either: Find the same data set the authors used, or a similar data set and defend the comparability, or acquire one from scratch?_

[4]

(2/2)

CIFAR-100 and miniImageNet. Datasets download automatically, but no details provided.

### Configuration 
_Given the (hyper)parameters, including semantic parameters, of the method: How much effort would it take to acquire the algorithm configurations used for obtaining the reported results, and compare them against their computation budget?_

[3]

HP values are detailed in text in section 5. No acquisition given. Code has a large directory of files dedicated to configurations per experiment.

### Experimental Procedure
_Given the setup of experiments reported in the work, how difficult is it to set up a new experiment with the same procedure, similar to those presented in the original work?_

[1]

The authors run each experiment ten times with different seeds and report mean accuracy. Data splits reported in appendix A.1.

### Expertise
_How much effort would it take to acquire the expertise required to reproduce the work independently relying solely on the available documentation?_

[4]

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