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Machine Learning Tech Brief By HackerNoon
HackerNoon
433 episodes
1 day ago
Learn the latest machine learning updates in the tech world.
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All content for Machine Learning Tech Brief By HackerNoon is the property of HackerNoon and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Learn the latest machine learning updates in the tech world.
Show more...
Tech News
News
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MIL Perspective: Analyzing Q-Former as a Multi-Head Mechanism
Machine Learning Tech Brief By HackerNoon
4 minutes
4 days ago
MIL Perspective: Analyzing Q-Former as a Multi-Head Mechanism

This story was originally published on HackerNoon at: https://hackernoon.com/mil-perspective-analyzing-q-former-as-a-multi-head-mechanism.
Proves Q-Former is a Multi-Head MIL module due to permutation invariance in its cross-attention.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #deep-learning, #multiple-instance-learning, #cross-attention, #permutation-invariance, #mllm-architecture, #instance-correlation, #visual-adapters, #multi-head-mechanism, and more.

This story was written by: @instancing. Learn more about this writer by checking @instancing's about page, and for more stories, please visit hackernoon.com.

Proves Q-Former is a Multi-Head MIL module due to permutation invariance in its cross-attention. Notes its limitation: it assumes i.i.d. instances, overlooking crucial instance correlation.

Machine Learning Tech Brief By HackerNoon
Learn the latest machine learning updates in the tech world.