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Code for the paper "Challenging the Semi-Supervised VAE Framework for Text Classification"

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Challenging the Semi-Supervised VAE Framework for Text Classification

This repository serves reproducing the experiments from the paper Challenging the Semi-Supervised VAE Framework for Text Classification.

The commands for running the set of experiment for each model and each dataset is in the corresponding .slurm or .sh file named launch<Model><Dataset> in the launch_scripts folder.

For importance weighted experiments, the memory cost can be lowered using the --grad_accu parameter which specifies the number of gradient accumulation steps. The --batch_size parameter must then be lowered accordingly. Example: --grad_accu 2 --batch_size 32 is equivalent to --grad_accu 4 --batch_size 16 .

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Code for the paper "Challenging the Semi-Supervised VAE Framework for Text Classification"

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