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by karpathy on 2019-12-08 (UTC).

~2 hours debugging an issue I thought was due to something I misunderstood in the deep mathematics involved but I just forgot to call `https://t.co/E1f9894p7z_grad()`. This bug really builds character

— Andrej Karpathy (@karpathy) December 8, 2019
misc
by mathbabedotorg on 2019-12-08 (UTC).

There's plenty that I agree with in this article but the thing that I cannot abide is the concept that finding discrimination in privately held, IP-protected algorithms is easy is just plain wrong.https://t.co/ITMwIFJBzW

— Cathy O'Neil (@mathbabedotorg) December 8, 2019
biasmiscthought
by jackclarkSF on 2019-12-08 (UTC).

I think 70% of our anxieties about modern technology can be traced back to Western governments transfering big chunks of R&D and expertise from public sector to private sector, which develops things in different ways with different priorities

— Jack Clark (@jackclarkSF) December 8, 2019
thought
by ml_review on 2019-12-07 (UTC).

DGL (Deep Graph Library) –clean abstraction for building graph-based neural nets atop PyTorch/MxNet. Comes pre-built with auto-batching, sparse-multiplication and 10 different models like GCNs or TreeLSTM

Github https://t.co/UgZtFajJJM
Twitter @GraphDeep

Happy Birthday 🎂🎈🎉 pic.twitter.com/K2IoHawsez

— ML Review (@ml_review) December 7, 2019
toolpytorch
by NandoDF on 2019-12-07 (UTC).

Google, Intel, MIT, and more: a NeurIPS conference AI research tour #NeurIPS2019 https://t.co/9zUaFgSeib

— Nando de Freitas (@NandoDF) December 7, 2019
researchsurvey
by chipro on 2019-12-07 (UTC).

Our team will be presenting Novograd at Beyond First Order Methods in ML and NeMo at MLSys workshops.

I'll be on a panel with some academic heroes of mine to discuss research vs industry at NewInML, 3pm Monday.

Hit me up if you want to chat! #NeurIPS2019https://t.co/WHzcfh7pG0

— Chip Huyen @ NeurIPS (@chipro) December 7, 2019
toolnlp
by randal_olson on 2019-12-07 (UTC).

Geographical distributions of the USA’s burger chains. #datavizhttps://t.co/UVEqEVDeyC pic.twitter.com/EEqdUxYVtB

— Randy Olson (@randal_olson) December 7, 2019
dataviz
by citnaj on 2019-12-07 (UTC).

Very commendable. We need more of this. These companies letting China’s oppressive government steer the direction of the rest of the world for short term gain, comfort and greed is the epitome of cowardice. https://t.co/Oke5BUBvhV

— Jason Antic (@citnaj) December 7, 2019
miscethics
by flowingdata on 2019-12-06 (UTC).

Based on emergency room data, here are all the foreign bodies that got stuck down there.

If you choose to venture, make sure you have a good grip. There's a vacuum suction effect I am told. https://t.co/C7qz98iVfB

— Nathan Yau (@flowingdata) December 6, 2019
dataviz
by fchollet on 2019-12-06 (UTC).

TF 2.1 is coming soon (RC0 out now), with extended TPU support: https://t.co/aqv7xTB2Bu (via @martin_gorner)

— François Chollet (@fchollet) December 6, 2019
tensorflowlearningtutorial
by joelgrus on 2019-12-06 (UTC).

love too walrus comprehension #python pic.twitter.com/BjAWb6PkpU

— Joel Grus 👼👼👼 (@joelgrus) December 6, 2019
python
by GoogleAI on 2019-12-06 (UTC).

How does transfer learning for medical imaging affect performance, representations and convergence? In a new #NeurIPS2019 paper, we investigate this across different architectures and datasets, finding some surprising conclusions! Learn more below: https://t.co/svZY5sUJEu

— Google AI (@GoogleAI) December 6, 2019
researchcv
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