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Clarification #2
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Hi Avinsash,
Thanks for your message and interest in our work!
Could you tell me which model you were training in your runs i.e. Slot
Attention, Monet, or the additive autoencoder?
Best,
Jack
…On Tue, Dec 5, 2023 at 11:45 AM Avinash ***@***.***> wrote:
Hi @JackBrady <https://github.com/JackBrady>, @zimmerrol
<https://github.com/zimmerrol>,
Thanks for this interesting work and I very much appreciate the well
written codebase.
I attempted to reproduce the results outlined in section 5.2, following
the provided instructions. However, I'm facing some challenges as the
maximum slot identifiability score achieved in my runs was less than 0.3.
I'm curious if this variability could be attributed to random seeds. If
so, could you kindly share the seeds used for data generation and across
all models?
Cheers,
Avinash
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Hi Jack, SIS_Epochs.pdf Thank you, |
Hi Avinsash, Thanks for the plot! I will try executing the runs with the seeds you mentioned and see if I can debug the reason for the low scores. Best, |
Hi @JackBrady, @zimmerrol,
Thanks for this interesting work and I very much appreciate the well written codebase.
I attempted to reproduce the results outlined in section 5.2, following the provided instructions. However, I'm facing some challenges as the maximum slot identifiability score achieved in my runs was less than 0.3.
I'm curious if this variability could be attributed to random seeds, alone. If so, could you kindly share the seeds used for data generation and across all models?
Cheers,
Avinash
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