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NeurIPS 2019 Notes [pdf]
- cbames89 7y agoDave's a great guy for doing this. I like to peruse his notes just to see what he thought was important.
- amrrs 7y agoFew more NeurIPS related link: https://nulldata.substack.com/p/neurips-2019-edition https://nulldata.substack.com/p/neurips-2019-edition
- panabee 7y agoWebsite for searching NeurIPS papers: https://neurips2019exploration.herokuapp.com/ https://neurips2019exploration.herokuapp.com/ Not affiliated, just thought it was a helpful tool.
- deepsun 7y agoNot all papers are there. Seems like not all workshops posted their papers yet to NeurIPS Proceedings. E.g. none from Knowledge Representation workshop (https://neurips.cc/Conferences/2019/Schedule?showEvent=13169 https://neurips.cc/Conferences/2019/Schedule?showEvent=13169 )
- panabee 7y agoAny suggestions for an alternative way to search the papers?
- The_rationalist 7y agoIs there any paper that advance the state of the art?
- fyp 7y agoWere there any videos people thought was particularly worth watching? Is this the right list? https://slideslive.com/neurips#!feed=popular https://slideslive.com/neurips#!feed=popular
- amrrs 7y agoCeleste Kidd's one was highly spoke about
- PL1 7y agoI have heard about it. Do you have a link? Thanks.
- thatsenough 7y agoWhich? Her technical talk on how humans learn [1], or her keynote address on sexual harassment and the #metoo movement? As far as I know, only the latter got a standing ovation. [1] https://www.nips.cc/Conferences/2019/Schedule?showEvent=15483 https://www.nips.cc/Conferences/2019/Schedule?showEvent=1548... [2] https://fortune.com/2019/12/09/sexual-harassment-issues-highlighted-at-a-leading-a-i-conference/ https://fortune.com/2019/12/09/sexual-harassment-issues-high...
- 0xcde4c3db 7y agoThe same talk [1] covers both topics. Part of her point is that they're related via people forming false beliefs about accusations of harassment (particularly men believing that they're at much greater risk of being accused than they actually are). [1] https://slideslive.com/38921495/how-to-know https://slideslive.com/38921495/how-to-know
- mesut32 7y agoInteresting to see the growth of PyTorch https://twitter.com/cHHillee/status/1195568939381776386 https://twitter.com/cHHillee/status/1195568939381776386
- The_rationalist 7y agoWhich bring so much software poverty... So many tasks have a state of the art accuracy only on tensorflow or only on pytorch. So now someone that actually care about accuracy must learn both frameworks instead of one but in practice, he will just not use the state of the art when not available which is just plain sad.
- 1_electron 7y agoi understand why there would be differences wrt performance, ease of deployment, etc, but why would there be significant differences in model accuracy between tf and pyt? a matrix multiply is a matrix multiply, regardless of implementation...
- ploika 7y agoThe matrix multiplications should be the same (down to floating point accuracy limitations) but there might be very slight differences in how things like random dropout or stochastic gradient descent work in one framework versus the other.
- gautamcgoel 7y agoI was just at NeurIPS (gave a spotlight talk in the session on online learning). TBH, NeurIPS gas grown too big for it's own good; this year there were 14,000 attendees. It's so big that they had to restrict access to some of the poster sessions due to overcrowding. It's become very difficult for junior researchers to find and talk to senior people, due to the sheer size of it all; honestly, it feels like an overcrowded science fair crossed with an industry expo. I much prefer AISTATS, which I attended this year in Okinawa, Japan. Much smaller, more accessible, and with more focus on disseminating scientific ideas, as it should be.
- deleted 7y ago[deleted]
- softwaredoug 7y agoProbably also too many people are focused on a solution, and not problems for specific domains. Learning more about deep learning is cool, but in practice, most problems in domains need domain expertise combined with more mundane models. This is particularly true when you need to rally domain experts help - folks able to understand logistic regression more easily than a complex deep learning model.
- MAXPOOL 7y agoNeurIPS should be about fundamental science not about applied science and engineering solutions for specific domains. Science vs applications would be actually a good way to divide NeurIPS into two conferences to get focus back: NeurIPS and Applied NeurIPS. One wold present science, the other tweaks, tricks and methods to solve everyday problems. Papers like "Partially Encrypted Deep Learning using Functional Encryption", "Dancing to Music", "Differentiable Cloth Simulation for Inverse Problems" would go go the engineering conference for the "most people".
- elcomet 7y ago> Partially Encrypted Deep Learning using Functional Encryption I don't agree about this one. It does seem fundamental science to me.
- brailsafe 7y agoI didn't even realize the conference was happening until my gf complained about the attendants of some ai conf downtown. Didn't quite realize how big it was.
- elcomet 7y agoWhat did she complain about ?
- chestervonwinch 7y agoProbably the number of hyperparameters
- brailsafe 7y agoToo many dweebs in the downtown hogging all the food court spots.