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Adam Kosiorek proslijedio/la je Tweet
#ICLR2020 camera-ready version of GENESIS is now online: https://openreview.net/forum?id=BkxfaTVFwH … https://arxiv.org/abs/1907.13052 We would like to sincerely thank the@iclr_conf reviewers for their thoughtful comments and useful suggestions :)@arkosiorek@oiwi3000@IngmarPosner@a2i_oxfordHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Adam Kosiorek proslijedio/la je Tweet
We are planning to hold
#WiML events, big and small, for#ICLR2020 in Ethiopia,#ICML2020 in Austria,#CoRL2020 in Boston,#NeurIPS2020 in Vancouver, and more! Apply to be an organizer if you'd like to be more involved.https://twitter.com/WiMLworkshop/status/1222691891692625923 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Congrats to
@tom_rainforth! I've learned a lot from this guy and would totally recommend working with him for all things statistical ML!https://twitter.com/tom_rainforth/status/1217101830536224771 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Adam Kosiorek proslijedio/la je Tweet
In prior work (Doe et al, 2019) has considered the problem of parrot walking, however, the proposed method had severe limitations. The approach presented in this paper is novel and versatile. To our knowledge it is the first work considering multiple parrots simultaneously.https://twitter.com/Krazygioo/status/1215866140481720320 …
0:05Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I'm excited to announce that I've just joined DeepMind in London as a Research Scientist in
@DeepSpiker's team. I'm planning to continue working on unsupervised representation learning -- let's see how far we can scale object-centric representations!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Now, I'm about to graduate after about three years at Oxford, and I can keep doing whatever research I like, and wherever I want. What's the point of dragging the PhD out into 6+ years total? 5/5
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Is it really this much worse to get a PhD at a slightly worse school, and to prove your worth with your research work? I had no prior ML work when I applied for PhD, and I got rejected from Stanford and from Toronto (which isn't even considered "top", I guess). 4/5
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Sure, these schools are prestigious, but, as US institutions, they often require 4-6 years to finish the PhD. You also need to account for the time needed to get these additional publications. 3/5
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Getting a PhD is only the first stage of a scientific career, and its purpose is to learn how to do research. If you need to know how to do research to even start, then I'm not sure what the point is. 2/5
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Apparently, you need 1-2 publications at top-tier ML conferences to get into a top school for a PhD: https://medium.com/@andreas_madsen/becoming-an-independent-researcher-and-getting-published-in-iclr-with-spotlight-c93ef0b39b8b?source=friends_link&sk=d930cb061089bb4428f1e6ef06958662 … I wonder if getting into top schools is still worth it, then? 1/5
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Is
@ETH_en worth it over@TU_Muenchen for an undergrad in CS? Asking for my little bro :)Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
GENESIS just got accepted to
#ICLR2020. Great job@martinengelcke and the team; see you all in Ethiopia! :)https://twitter.com/martinengelcke/status/1156518665094873088 …
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what's the difference between density estimation and generative modelling?
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The idea is that you can predict a set from any conditioning by: 1. Encoding the conditioning. 2. Encoding a randomly initialised set of some maximum size. 3. Running gradient descent on the set to match its encoding to the encoding of the conditioning.
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A nice summary of
#NeurIPS2019: https://david-abel.github.io/notes/neurips_2019.pdf …. Interestingly, it's almost completely orthogonal to my experience...Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This paper had the biggest subjective "wow" factor for me at
#NeurIPS2019: "Deep Set Prediction Networks" by Yan Zhang, Jonathon Hare, Adam Prügel-Bennett https://arxiv.org/abs/1906.06565 . The idea is very simple, and yet I find it mind-blowing.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Adam Kosiorek proslijedio/la je Tweet
Come to our poster tomorrow (Saturday) on relational reasoning in multi-object tracking!
9:45 - 10:30, Sets & Partitions WS, West Level 2, #215-216
See a video of results on real-world data: https://fabianfuchsml.github.io/mohart/
Work with @arkosiorek@oiwi3000@IngmarPosner#neurips19pic.twitter.com/58vL0j4UI4
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Going to
#NeurIPS2019 ? Come see us on Thursday in the East Exhibition Hall B+C at 5pm, where we're presenting Stacked Capsule Autoencoders (poster #36)!pic.twitter.com/UoB3dOg777
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Ever wondered how to do meta-learning directly in function space? Here's a treat from
@jinxu06 with soma SOTA results on mini/tiredImageNet!https://twitter.com/jinxu06/status/1202923679698636801 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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