The study was entirely about the probabalistic triggering. That's what I was after. I was actually studying one shot learning and how it learns and forgets a single training example.
More detail:
Trained like ~500 runs.
Each run was:
- inference 5k times to make sure question isn't guessable
- Train on one shot of a non guessable question.
- inference 800 times for a % remembered
Then do this 200 times per run:
- train one step on a different normal dataset
- inference 800 times on the Q
More detail:
Trained like ~500 runs.
Each run was: - inference 5k times to make sure question isn't guessable - Train on one shot of a non guessable question. - inference 800 times for a % remembered
Then do this 200 times per run: - train one step on a different normal dataset - inference 800 times on the Q