Anna Min @_AnnaMin
Undergrad in @Tsinghua_Uni, intern at @UMich @MIT , multi-modal learning, audio-visual learning. annamin0.github.io Joined January 2023-
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In an NTM, memory update may be: M_t = M_{t-1} \odot (1 - w_t^w e_t^\top) + w_t^w v_t^\top wt: write weights (which row to edit) et: erase vector (which features to clear) vt: write vector “erase then add”: first fade old info where say, then inject new info
In an NTM, memory update may be: M_t = M_{t-1} \odot (1 - w_t^w e_t^\top) + w_t^w v_t^\top wt: write weights (which row to edit) et: erase vector (which features to clear) vt: write vector “erase then add”: first fade old info where say, then inject new info
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Previously I explored how information theory can make multimodal learning more explainable, or how to make multimodal perception explainable with limited perspective. Estimating high-dimensional data directly is hard— this work sheds valuable insight.
Previously I explored how information theory can make multimodal learning more explainable, or how to make multimodal perception explainable with limited perspective. Estimating high-dimensional data directly is hard— this work sheds valuable insight.
Enjoying a virtual #CVPR25 via a laptop... placed right next to the poster 😅 Grateful to the folks who had full conversations with a laptop. 😆 Thanks for my amazing collaborators @andrewhowens and @CzyangChen for presentating our highlight paper!
can't wait to try on the melody that's been occupying my thoughts for so long!
can't wait to try on the melody that's been occupying my thoughts for so long!
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