Chengxu Zhuang

@ChengxuZhuang

I am a Ph.D. student in Stanford University, Psychology department. My research is about computational neuroscience.

Vrijeme pridruživanja: lipanj 2018.

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  1. 30. lis 2019.

    Our Local Aggregation work is 1 of 7 Best Paper Award Nominees! We achieve SOTA results in unsupervised learning. We have also released a pytorch version at (great thanks to and @honglinc_ ). Paper and TF-codes are in my previous post.

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  2. 2. kol 2019.

    We achieve SOTA results on unsupervised learning benchmark, surpassing previous methods by large margins. We hope it can help further bridge the gap between un- and supervised learning. We also want to better understand how human learns through these algorithms.

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  3. 24. svi 2019.

    Really nice work! Wonder how it relates to deep embedding approach. actually we got > alexnet a couple mos. ago with much shallower network (resnet50). curious how we’re going to get close to supervised numbers without extra depth.

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    24. svi 2019.

    unsupervised learning is the missing cake under the icing of supervision. zhuang, zhai & describe a method for deep learning of locally clustered embeddings () and henaff, al., et use spatial contrastive predictive coding...

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  5. 12. tra 2019.

    Excited to show our new results on unsupervised learning!

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