Hi all.

I recently submitted a paper to a CVPR workshop for the first time since completing my postgrad studies almost 20 years ago. The deadline was first moved out by a week (so that it coincided with the deadline for the camera ready version of the paper to be submitted) and has since passed. We received neither a notification of acceptance nor of a rejection. I would honestly be fine with a rejection, but I was expecting some review feedback indicating where the perceived weaknesses of the paper might be so that I might improve upon it. Not only did I not get any feedback, but I received no communication at all. I’ve been worried about about possible mail glitches (checked my spam folder repeatedly) and tried contacting workshop organisers both via Microsoft CMT and directly via e-mail. No response whatsoever. From my viewpoint this is extremely unprofessional. Do I escalate this further, as I believe it reflects badly on CVPR as a whole? Or is this normal nowadays?

Just an idea I had today. Everyone has idiosyncratic ways that they type from “high” level to “low” level: language use (vocab, phrases and idioms), misspellings, typos, speed and particular letter combinations that they hit more quickly than other people. It seems like you could, ignoring the semantic stuff for now, key log a thousand people (ethically) and get patterns of people’s typing behavior and discriminate a user based on their typing signature. I tend to leave my finger on my right hand longer on the right shift key so I often end up with ERrors like that <- when typing.

This approach has been used already: https://link.springer.com/chapter/10.1007/978-981-10-8180-4_4

But perhaps it could be applied to things like detecting unknown users native language based on common strings like “the” or “-ing” which native English users may type extra fast through practice as opposed to a native Chinese speaker typing in English. Perhaps you could create an algorithm that is able to discriminate country of origin / language of the person trying to access a controlled system or have some cybersecurity application.

Thoughts?

(link to the poll) https://strawpoll.com/879pzdx9

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[Discussion] What tools or software do you pay for?

-are you a researcher, engineer, CTO, project lead? etc.

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-Github membership (for private repos)?

-DevOps and DataOps?

-CB insights to get insights about the industry?

-Consultants to find the current landscape of a specific application? Who in the industry is working on what?

-exploring what’s out there? IP landscape, licensing IP and tools?

-ResearchGate, LinkedIn (membership tier) or any other site for hiring or collaboration?

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Are there any other tools or software that you pay for or subscribe to that are useful for machine learning?

Hi all,

I have seen some very nice demo where you can draw the outline of a scenery, cat or handbag and it creates a (more or less) realistic picture following your shapes.

How much work would it be to generate pictures of planets? you select which parts are water, forests, mountains, craters and it generates something like this: https://images.app.goo.gl/76jbnxVDg8YFE64g6

How much technical and computational work would this involve? I know very little about GANs, but I’m familiar with python (I study reinforcement learning) and have access to beefy GPUs.

Actually ideally I’d want to generate 3D models of the planets, but as a first approximation a 2D image would be enough.

Our research group at the University of Washington is running a 5-10 minute survey on defining artificial intelligence (A.I.) and classifying A.I. technologies, as well as identifying relevant social issues, that we hope will inform some ongoing policy discussions.

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Whether you could use a fun short break from your NeurIPS crunch, or you are just interested in this topic, we’d love to get your thoughts!

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Please participate and share!

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https://ischooluw.co1.qualtrics.com/jfe/form/SV_eWDnUFB1cyKjDrn?Q_CHL=reddit

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Feedback and replies with thoughts are also welcome. 🙂

Another GPT-2 based project. Trained on headlines from r/theonion and r/nottheonion.

Try it out: https://onionbot.eukaryote.dev/