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Code for ICML 2024 paper "InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-supervised Learning"

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InterLUDE

Code for ICML 2024 paper "InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-supervised Learning"

Setup

Install Anaconda

Follow the instructions here: https://conda.io/projects/conda/en/latest/user-guide/install/index.html

Environment

pytorch 1.11.0

Running experiments

To run the code, you can use the bash file and pass in the hyperparameter settings. (Example bash files are provided in runs/ folder, you will need to modify the paths to point to the data/the folder you want to store the output/the path to your script etc. The examples are based on CNN experiments, for ViT experiments you can adapt them correspondingly.)

Hyperparameters

please refer to the paper for hyperparameter details.

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Code for ICML 2024 paper "InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-supervised Learning"

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