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Sivaramakrishnan proslijedio/la je Tweet
Statistical mimicry is to language what a plastic toy picturing a bus is to public transportation innovation. It may look right, but it can't perform its function. A horse-drawn cart would be cruder, but could actually move people from A to B. It's cargo-cult AI.
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Sivaramakrishnan proslijedio/la je Tweet
Added ImageNet validation results for 164 pretrained
#PyTorch models on several datasets, incl ImageNet-A, ImageNetV2, and Imagenet-Sketch. No surprise, models with exposure to more data do quite well. Without extra, EfficientNets are holding their own.https://github.com/rwightman/pytorch-image-models/tree/master/results …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sivaramakrishnan proslijedio/la je Tweet
Did you know that Breiman published both the bagging and random forest papers *after* he retired?!? (This is from our forthcoming book: https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527 …)pic.twitter.com/07oAjxJgV3
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Sivaramakrishnan proslijedio/la je Tweet
A former boss once told me that I should document my lab work because what if I was hit by a bus and they couldn’t continue my project. I never documented anything for that job ever again.
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Sivaramakrishnan proslijedio/la je Tweet
The other dimension here is monolingual vs multilingual models. I think monolingual models in low-resource languages currently have an edge e.g. as seen in our MultiFiT paper.
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Sivaramakrishnan proslijedio/la je Tweet
Don't assume good health is forever. Don't assume a sharp mind is forever. Don't assume your loved ones are forever. Don't assume you have unlimited time. Do the things you want to do while you have the opportunity, and hug your loved ones close.
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Sivaramakrishnan proslijedio/la je Tweet
Amazing: a trail of termites (up) and a trail of ants (down), both protected by a row of their soldiers in a stand-off, without fighting. from
@mehdi_moussaidpic.twitter.com/4ULo2idgH4Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sivaramakrishnan proslijedio/la je Tweet
When I learn new idea, I must repeatedly learn it from multiple
#tutorials before it *clicks* If you're learning#convolutional nets - add this to your list It discusses#CNNs for: - images - audio - databases#100DaysOfMLCode#100DaysOfCode#AI http://brohrer.github.io/how_convolutional_neural_networks_work.html …pic.twitter.com/LKURUK36QQ
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Sivaramakrishnan proslijedio/la je Tweet
I think the fact that in France, it's OK to do applied work as long as it is theoretically interesting, and in the US, it's OK to do theory as long as it has practical applications, kind of captures the difference between "Euro PL" and "American PL"
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Sivaramakrishnan proslijedio/la je Tweet
Q-learning is difficult to apply when the number of available actions is large. We show that a simple extension based on amortized stochastic search allows Q-learning to scale to high-dimensional discrete, continuous or hybrid action spaces: https://arxiv.org/abs/2001.08116
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Sivaramakrishnan proslijedio/la je Tweet
When your learning rate schedule is perfect.https://twitter.com/DynastyLewis_/status/1220211354956636160 …
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Sivaramakrishnan proslijedio/la je Tweet
#TransferLearning is one of the most important#AI techniques I don't often recommend PhD Thesis' -@seb_ruder's is exceptional. He's a brilliant writer! Check out this taxonomy / table of contents!!!

#100DaysOfMLCode#100DaysOfCode https://ruder.io/thesis/neural_transfer_learning_for_nlp.pdf …pic.twitter.com/ZSbZSwD9DT
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Sivaramakrishnan proslijedio/la je Tweet
Hello, world! This is the official account for NumPy, the fundamental package for scientific computing with Python. Follow us for news, info and content related to NumPy!
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Sivaramakrishnan proslijedio/la je Tweet
practicalAI platform launched! - https://practicalai.me/
A free tool to
discover &
organize the top community-curated ML content. I’ll highlight a few of the major features here but be sure to check out the tutorial - https://practicalai.me/tutorial/ pic.twitter.com/gUOZ10Mrdj
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Sivaramakrishnan proslijedio/la je Tweet
Sundar Pichai, CEO of Google, calls for sensible regulation of AI. I agree. "Companies such as ours cannot just build promising new technology and let market forces decide how it will be used. It is equally...https://www.ft.com/content/3467659a-386d-11ea-ac3c-f68c10993b04 …
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Sivaramakrishnan proslijedio/la je Tweet
I removed a sentence from our 6-page paper being written in LaTeX. So now it is 6.5 pages.
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Sivaramakrishnan proslijedio/la je Tweet
I am trilled to see Catalyst usage for Social Good initiatives. This time – smoke prediction to help win the fight against California wildfires crisis. Everything is Open Sourced. Thanks Dmitry Bleklov and
@viglovikov for making this happen.#Catalyst4SocialGoodhttps://twitter.com/AIforMankind/status/1218722638308098048 …
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Sivaramakrishnan proslijedio/la je Tweet
Nice list! Our ML lab wrote up a few practical tips for debugging neural networks:https://pcc.cs.byu.edu/2017/10/02/practical-advice-for-building-deep-neural-networks/ …
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Sivaramakrishnan proslijedio/la je Tweet
most common neural net mistakes: 1) you didn't try to overfit a single batch first. 2) you forgot to toggle train/eval mode for the net. 3) you forgot to .zero_grad() (in pytorch) before .backward(). 4) you passed softmaxed outputs to a loss that expects raw logits. ; others? :)
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Sivaramakrishnan proslijedio/la je Tweet
To people tweeting at me saying they can’t get past NYT paywall to read my story. 1. Create an account & you can read some amount of articles w/o paying. OR 2. Subscribe! Wanting everything online to be free is part of what has gotten us into this privacy mess in the first place
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