jiaping zhao

I am a Ph.D candidate in computer science at USC. My interests lie in computer vision, machine learning and statistics.

[Gary Marcus @GaryMarcus]

What if generative AI turned out to be a dud?

At my (free) newsletter that I can’t properly link here, I discuss some economic and geopolitical implications of this that X’s algorithm doesn’t seem to want you to read about.

[Jeff Dean @JeffDean]

Delighted to see @GoogleAI collaborate w/@MGnifyDB to use ML to provide 1.5 billion protein function predictions (!). While protein structure prediction is useful, accurate protein function predictions can truly unlock all kinds of new possibilities!

[Jeremy Howard @jeremyphoward]

Very handy reference to relative Imagenet performance of many recent architectures
https://t.co/05IiapgtiC

[Ian Goodfellow @goodfellow_ian]

TensorFlow launches Easy Mode... I mean, Eager Mode https://t.co/lwZrDO8uLU

[Stanford NLP Group @stanfordnlp]

Non-convex optimization keeps looking easier and easier…. https://t.co/mPe460yK42

[Arne Köhn (@akoehn.bsky.social) @ArneKoehn]

Today we released the Spoken Wikipedia Corpora - hundreds of hours of audio time aligned to Wikpedia articles. DE, EN, NL, several hundred speakers. CC BY-SA license.
https://t.co/w6gzS90DEY
Thanks to Spoken Wikipedia Projects & Wikpedia for creating the data! #NLProc

[Kyunghyun Cho @kchonyc]

yoshua Bengio: unsupervised learning at the abstraction rather than pixels #reworkdl

[Andrej Karpathy @karpathy]

To get neural nets to work one must be super-OCD about details. With bugs nets will train (they "want" to work), but work silently worse.

[jiaping zhao @jiapingz]

Check out this Meetup with Silicon Valley Augmented Reality & Cognition! https://t.co/GQ2qPTsbQT

[jiaping zhao @jiapingz]

Astronomers explore uses for AI-generated images : Nature News & Comment https://t.co/ZQrKM81sum via @NatureNews

[Nando de Freitas @NandoDF]

This paper is a breakthrough!Dawn Song and her team have shown that recursion is the key to true generalisation. https://t.co/Rbj7O03xIs

[jiaping zhao @jiapingz]

Improved Deep Learning of Object Category using Pose Information
http://128.84.21.199/abs/1607.05836

[jiaping zhao @jiapingz]

Learning to Recognize Objects by Retaining other Factors of Variation
http://128.84.21.199/abs/1607.05851

[jiaping zhao @jiapingz]

@ML_toparticles

[jiaping zhao @jiapingz]

@rsalakhu

[jiaping zhao @jiapingz]

@ML_toparticles

[jiaping zhao @jiapingz]

@deliprao

[jiaping zhao @jiapingz]

@areshand hi, I joined twitter