Eric Zhan

PhD Candidate @Caltech. Sequence + behavior modeling.

[Eric Zhan @ericzhan_]

@StreetGlide007 @ameeshsh @JenJSun @yisongyue @swarat I am NOT involved with them in any way.

Thanks for bringing this to my attention.

[Eric Zhan @ericzhan_]

If you want to find out how we learn differentiable programs via a top-down approach with a neural heuristic, come join us today at our poster! Joint work with @ameeshsh @JenJSun @averma8053 @yisongyue @swarat

9-11am PST
https://t.co/2TmkK1Eeso

[Yisong Yue @yisongyue]

Nominated for Best Paper at #CVPR2021! Very proud of @JenJSun!

Check out all the nominees here: https://t.co/vYTTxDIQZ7

[Jennifer J. Sun @JenJSun]

Data annotation can be time-consuming!
TREBA, our framework using self-supervision and programmatic supervision, improves data efficiency for behavioral experiments by up to 10x.
(to appear as oral in #CVPR2021)

Paper: https://t.co/lTAkIj1kwn
Code: https://t.co/v5JsAnlDqy

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[Yue Lab Caltech @YueLabCaltech]

Check out our new preprint from @JenJSun, @Antihebbiann, @ericzhan_, @yisongyue & Pietro Perona

If task programming gets you going then this preprint is for you! 👇👇👇

"Task Programming: Learning Data Efficient Behavior Representations" https://t.co/GdGzQfsK5K