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Want to estimate or optimize mutual information using neural networks and the latest variational bounds? Check out our Colab notebook for implementations and experiments! Colab: https://colab.research.google.com/github/google-research/google-research/blob/master/vbmi/vbmi_demo.ipynb … Paper: https://arxiv.org/abs/1905.06922 pic.twitter.com/WcvYzSoZfX
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Ben Poole proslijedio/la je Tweet
A research story with a twist I looked for a neural network regularization method that limited the number of non-zero node activities (L0 group sparsity?) I couldn’t find one. 1/11
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Ben Poole proslijedio/la je Tweet
Our huge Patch-seq effort is out on bioRxiv: https://www.biorxiv.org/content/10.1101/2020.02.03.929158v1 …. 1320 neurons in mouse motor cortex patched, sequenced, and mapped to a scRNA-seq atlas. 642 reconstructed morphologies! Our running joke was that it was a bit like catching Pokemons. (1/n)pic.twitter.com/22vAQLyfKT
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Ben Poole proslijedio/la je Tweet
Looks like the
#cosyne2020 meeting program has been posted online! http://www.cosyne.org/c/index.php?title=Cosyne2020_Program …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ben Poole proslijedio/la je Tweet
Joint Distributions for TensorFlow Probability. (arXiv:2001.11819v1 [http://cs.PL ]) https://ift.tt/2GMNC2b
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Ben Poole proslijedio/la je Tweet
Does your DNN have problems with common corruption robustness? You can get suprisingly far by just training on noise! In our new paper, we evaluate how simple learned i.i.d. noise can help to generalize to ImageNet-C. Blog post @ https://medium.com/bethgelab/increasing-the-robustness-of-dnns-against-image-corruptions-by-playing-the-game-of-noise-4566b5c2c8d5 …pic.twitter.com/sasN63kDyq
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For all the procrastinators with AOE deadlines: https://en.wikipedia.org/wiki/UTC%E2%88%9212:00 …
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Ben Poole proslijedio/la je Tweet
This is a great question that I've gotten periodically. Previously it would have taken too long to put something together, but using Neural Tangents (http://github.com/google/neural-tangents …) it's really easy and fast! Here is the reproduction in a colab: https://colab.sandbox.google.com/github/google/neural-tangents/blob/master/notebooks/phase_diagram.ipynb …https://twitter.com/DigantaMisra1/status/1220571913904242688 …
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Ben Poole proslijedio/la je Tweet
FixMatch: focusing on simplicity for semi-supervised learning and improving state of the art (CIFAR 94.9% with 250 labels, 88.6% with 40). https://arxiv.org/abs/2001.07685 Collaboration with Kihyuk Sohn,
@chunliang_tw@ZizhaoZhang Nicholas Carlini@ekindogus@Han_Zhang_@colinraffelpic.twitter.com/BmeYvpEHzX
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bay area drivers' fear of water is as bad as their fear of new housing
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Ben Poole proslijedio/la je Tweet
Differentiable Digital Signal Processing (DDSP)! Fusing classic interpretable DSP with neural networks.
Blog: http://magenta.tensorflow.org/ddsp
Examples: https://g.co/magenta/ddsp-examples …
Colab: http://g.co/magenta/ddsp-demo …
Code: http://github.com/magenta/ddsp
Paper: http://g.co/magenta/ddsp-paper …
1/pic.twitter.com/SlxLUOUC6k
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Ben Poole proslijedio/la je Tweet
BigGAN samples are famously photo-realistic but limited in diversity for some classes. Slightly modifying only the class embeddings (network unchanged) can reduce the diversity gap by ~50%! Work with Long Mai and led by fantastic
@MkQili!! Paper & video: http://anhnguyen.me/project/biggan-am/ …pic.twitter.com/MhIOxCepV5
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Ben Poole proslijedio/la je Tweet
New preprint with
@basvanopheusden and@weijima01! arXiv: https://arxiv.org/abs/2001.03985 code: https://github.com/lacerbi/ibs (thread) 1. Many models (e.g., in psych and comp neuro) don't have a log-likelihood in closed form, but we can easily sample observations from the model.pic.twitter.com/Z9HNqJEHGN
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Ben Poole proslijedio/la je Tweet
Videos of all of our speakers from
#DeepMath 2019 are now up! Please share and stay tuned for#DeepMath 2020.https://tinyurl.com/ql73r9hHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ben Poole proslijedio/la je Tweet
Our paper "On the information bottleneck theory of deep learning" has been republished (with small edits) in J Stat Mech ML special issue: https://iopscience.iop.org/article/10.1088/1742-5468/ab3985 … A wonderful collaboration with
@whybansal @laika117@advani_madhu Artemy Kolchinsky@brendantracey@neurobongopic.twitter.com/kJOljN7U85
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Ben Poole proslijedio/la je Tweet
*REMINDER + PLS RT* Our workshop, From Neuroscience to Artificially Intelligent Systems (NAISys), has an abstract deadline of January 10. This Friday!!! But, it's only 1-page, so easy-peasy: https://meetings.cshl.edu/meetings.aspx?meet=NAISYS&year=20 … Please send in ideas for how neuroscience can inform AI!pic.twitter.com/AZNNIUSg0N
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Ben Poole proslijedio/la je Tweet
We distill key components for pre-training representations at scale: BigTransfer ("BiT") achieves SOTA on many benchmarks with ResNet, e.g. 87.8% top-1 on ImageNet (86.4% with only 25 images/class) and 99.3% on CIFAR-10 (97.6% with only 10 images/class). http://arxiv.org/abs/1912.11370 pic.twitter.com/bQULupLQzi
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Ben Poole proslijedio/la je Tweet
A General and Adaptive Robust Loss Function https://arxiv.org/abs/1701.03077 They propose an analytical function that can represent a family of well known robust cost functions just with a single parameter (alpha). Alpha lets you walk through L2, huber, cauchy, tukey and more.pic.twitter.com/Uy5nB7DoOR
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Ben Poole proslijedio/la je Tweet
HNY and 1st discovery from mouse V1 serial section EM dataset! https://www.biorxiv.org/content/10.1101/2019.12.29.890319v1 … Largest wiring diagram yet btw identified cortical neurons
@BCMHouston@AllenInstitute Brain Science@PrincetonNeuro supported by@IARPAnews MICrONS. 1/npic.twitter.com/9HnJowefD9Ovo je potencijalno osjetljiv multimedijski sadržaj. Saznajte više
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Ben Poole proslijedio/la je Tweet
Interested in how neuroscience can inspire better AI? Come to NAISys, March 24-28 Abstracts (1 page) due Jan 10 registration https://bit.ly/2rVHr8l
@SuryaGanguli@KordingLab@tyrell_turing@SussilloDavid@ylecun@SebastianSeung@chelseabfinn@Numenta {Please RETWEET ME}pic.twitter.com/MmThOqpD65
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Ben Poole proslijedio/la je Tweet
A year ago in Nature Biotechnology, Becht et al. argued that UMAP preserved global structure better than t-SNE. Now
@GCLinderman and me wrote a comment saying that their results were entirely due to the different initialization choices: https://www.biorxiv.org/content/10.1101/2019.12.19.877522v1 …. Thread. (1/n)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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