Today, @RaiaHadsell, @kchonyc and I are happy to announce the creation of a new journal: Transaction on Machine Learning Research (TMLR)
Learn more in our post: https://t.co/yviHASS4R1
Half of my patients in clinic today (former ex premature babies) are on crazy waiting lists to see other specialists as a result of unfilled posts. Vulnerable patients. Scared parents. This is not ok. Time to act @SimonHarrisTD@LeoVaradkar@Paschald#CARECANTWAIT@IrishNeonatal
Can we degrade the performance of neural link predictors by poisoning their training set? Tune in today at #ACL2021NLP 23:40 UTC. Peru Bhardwaj will show how she exploited KGE inference patterns to lower MRR of ~20 base points. https://t.co/R30Wtamtw6 https://t.co/NNVJOmJ4Dw
— Context —
Speaking about the transformer architecture, one may incorrectly talk about an encoder-decoder architecture. But this is *clearly* not the case.
The transformer architecture is an example of encoder-predictor-decoder architecture, or a conditional language-model.
@BLRAirport Will the covid test be done at the airport on the day of arrival or is it after 7 days like Mumbai? I am transiting via UK. How long does the test take approximately (so that i can plan my onward journey to my hometown)?
🎉 Papers with Code partners with arXiv! Code links are now shown on arXiv articles, and authors can submit code through arXiv. Read more: https://t.co/kO6zhWAWGH
Fantastic @TheEconomist podcast with the great @kncukier about the amazing #virus world. It will be amazing when we turn phage virus onto awesome new therapies!
We now have 44 high-quality, short code examples demonstrating common workflows at https://t.co/eE1hRBF8Gt
Most of them are contributed by the community. They cover computer vision, NLP, timeseries, audio, generative deep learning, RL...
A very simple Kaggle notebook that shows how to use KerasTuner to automatically find a high-performing model: https://t.co/LjXfpZJACw
Includes finding the best image augmentation config as part of the parameter search (this is actually one of the most important things to tune)
I wrote a minimal/educational GPT training library in PyTorch, am calling it minGPT as it is only around ~300 lines of code: https://t.co/79S9lShJRN +demos for addition and character-level language model. (quick weekend project, may contain sharp edges)
Interested in Anomaly Detection? Check out these two new tutorials on https://t.co/BsLdHu4PY2 and https://t.co/p6td0W4YwW:
https://t.co/KLulbhmqCV
https://t.co/cr8hkKiAre
The TF tutorial is inspired by this truly excellent interactive demo by @vykthur
https://t.co/bIdWihKkVX
@RevolutApp Hi, Due to covid, my visa got extended with online approval. I have the proof of extension but you guys are not accepting it as your backend doesn't support. I have put money on the app but I am unable to use it because it says I'd verification is pending.
“You’ve always suspected AlexNet to be a bit of a cheat — but what about you, ResNet? Is it too much to ask for a bit more depth of character from someone with 152 layers?” 😂 https://t.co/SrrUL9nm42
Wow, AmpliGraph just won the 2019 "Best Technical Advance in the Field of Data Science" award! Big shout-out to our terrific @accenturelabs team @sumitppai@PedroTabacof@chan_le_van @Rory_M_McGrath @nickpmcc #datsciawards and check out https://t.co/tL8aKQyixz /cc @AccentureDock
4/ Tutorials! (Jupyter notebooks):
- AmpliGraph basics: training, saving and restoring a model, evaluating a model, discover new links, visualize embeddings.
- Link-based clustering and classification
https://t.co/ZbdE5BZKlO
(Also available on Colab https://t.co/aDSSE4OPa7 )