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MoE + Weight Sharing #6

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ClashLuke opened this issue Apr 30, 2022 · 0 comments
Open

MoE + Weight Sharing #6

ClashLuke opened this issue Apr 30, 2022 · 0 comments
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core Improves core model while keeping core idea intact ML Requires machine-learning knowledge (can be built up on the fly) research Creative project that might fail but could give high returns

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@ClashLuke
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ClashLuke commented Apr 30, 2022 •
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Like WideNet proposed, we could combine a MoE-architecture with weight sharing. Incorporating a WideNet-style architecture should increase performance, decrease training time, and reduce the number of parameters needed.
This issue is about implementing such a weight-sharing protocol and benchmarking its performance.
@ClashLuke ClashLuke added research Creative project that might fail but could give high returns engineering Software-engineering problems that don't require ML-Expertise ML Requires machine-learning knowledge (can be built up on the fly) and removed engineering Software-engineering problems that don't require ML-Expertise labels Apr 30, 2022
@ClashLuke ClashLuke added the core Improves core model while keeping core idea intact label May 8, 2022
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core Improves core model while keeping core idea intact ML Requires machine-learning knowledge (can be built up on the fly) research Creative project that might fail but could give high returns
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