Comments (1)
Dear AmorfEvo,
thank you for your constructive comments and references! We're currently revising our manuscript, including reviews and comparisons of prior work that use more complex gating mechanisms that we unfortunately missed to reference in our preprint submission.
It appears that Gated ResNet architecture contains the gate
y = (1 - a) * x + a * F(x)
,
while Highway Networks are
T = W_T * x + b_T
y = T * F(x) + (1 - T) * x ,
with b_T initialized to be negative. You mention that the carry gate = 1 is an option in Highway Networks, but I see no canonical implementation we could compare to.
We will be sure to directly compare both of these architectures to ReZero and give appropriate credit.
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Related Issues (16)
- Can the method be applied to CNN? HOT 1
- can rezero be applied to cnn ? HOT 1
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- weight decay for the resweight? HOT 2
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- resweight is almost 0 HOT 1
- Learning rate of the Param resweight
- I don't see any other application other than NLP? HOT 1
- rezero with norm HOT 1
- does rezero work in machine translation tasks? HOT 3
- Relationship between ReZero and Zero gamma trick HOT 2
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- when apply rezero to bert or gpt, get NAN gradients HOT 5
- The order of dropout and *resweight HOT 3
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