emgrep's People
emgrep's Issues
Test training the Classifier on Block Encodings
instead of AR encoding
Rewrite Classifier Training to actual Few-Shot Learning
- need to decide what to train on to avoid leakage
- needs clear reasoning
RepresentationDataset Memory Efficiency
Use model as transformation when sampling
Train Dataloader: set drop_last=true
to avoid issues with momentum in optimizer
Visualization Implementation
- pull alpha-fix from main (veichta's commit from 2023-05-18)
- default settings with preprocessing, weight decay etc.
- with our loss, pos_mode: person, alpha=0.3
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