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CS224n: Natural Language Processing with Deep Learning

On Jun 15, 2019
@stanfordnlp shared
RT @altsoph: This year's video lectures for Stanford's "CS224N: Natural Language Processing with Deep Learning" are available on YouTube https://t.co/PJAfBtiM3G. (The course homepage is here https://t.co/u34cfkIqhl). #nlp #Stanford @stanfordnlp
Open

Course Description Natural language processing (NLP) is one of the most important technologies of the information age. There are a large variety of underlying tasks and machine learning models behind NLP applications. On the model side we will cover word vector representations, ...

web.stanford.edu
On Jun 15, 2019
@stanfordnlp shared
RT @altsoph: This year's video lectures for Stanford's "CS224N: Natural Language Processing with Deep Learning" are available on YouTube https://t.co/PJAfBtiM3G. (The course homepage is here https://t.co/u34cfkIqhl). #nlp #Stanford @stanfordnlp
Open

CS224n: Natural Language Processing with Deep Learning

Course Description Natural language processing (NLP) is one of the most important technologies of the information age. There are a large variety of underlying tasks and machine learning ...



On Jun 11, 2019
@jeremyphoward shared
RT @truthofai: [email protected] debunks myths about #deeplearning: - It's not a fad—it's been around for decades - You can use it for many use cases beyond image recognition - You don't necessarily need lots of data to create decent ML models ... and more https://t.co/e0860r96sc
Open

Is deep learning overhyped?

Many critics of deep learning claim it is overhyped. But as AI researcher and data scientist explains, perhaps deep learning is just not understood well.

On Jun 14, 2019
@jeremyphoward shared
RT @ledell: Delighted that @math_rachel from @fastdotai is giving a keynote at the #ICML2019 AutoML workshop! Check out her 3-part blog series about #AutoML: https://t.co/hhKoPE5Avz https://t.co/qwfcEUeVix
Open

What do machine learning practitioners actually do?

It will address what it is that machine learning practitioners do, with Part 2 explaining AutoML and neural architecture search (which several high profile figures have suggested will be ...

On Jun 14, 2019
@hardmaru shared
RT @flyyufelix: A detailed account on the methods we tried to tackle overfitting and improve robustness for Donkey Car at Pixmoving Hackathon https://t.co/dz72Fgcth2 @FeiCheung1 @marcoleewow @diyrobocars @thepixmoving #DonkeyCar https://t.co/e7wXktH0Ie
Open

Techniques to Tackle Overfitting and Achieve Robustness for Donkey Car Neural Network Self-Driving Agent

      Application of Style Transfer as an data augmentation technique to improve model’s robustness.

On Jun 11, 2019
@graphific shared
RT @FrankPasquale: “AI is not and will never be a ‘moral agent,’ and thus cannot determine what is morally right” https://t.co/rw5nGkZKdL
Open

Artificial Intelligence: Power to the People

Before we can assess how AI will affect international relations over the coming decades, we must first have a clear understanding of what AI is and is not.

On Jun 11, 2019
@NandoDF shared
RT @GoogleAI: Congratulations to the Google, @ETH and @MPI_IS authors of "Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations" (https://t.co/72TzrG0rvV), recipient of an #ICML2019 Best Paper Award! Learn more in the blog post at https://t.co/lrC7eN4EUx.
Open

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello 1 2 Stefan Bauer 2 Mario Lucic 3 Gunnar Rätsch 1 Sylvain Gelly 3 Bernhard ...

On Jun 13, 2019
@AlisonBLowndes shared
Some great quotes from @AmazonreMARS transcript: "In life and work, mindset is primary, training is secondary." "Those things we can't stop paying attention to are where we find our excellence." https://t.co/KxqlGBoaRp @amazon @awscloud @blueorigin @JeffBezos @RobertDowneyJr #AI
Open

Live from Las Vegas, it's re:MARS 2019

Updating live, with all the robots, drones, behind-the-scenes peeks, breaking news, and more.

On Jun 15, 2019
@clmt shared
Lots of great research from NVIDIA at #CVPR2019 . I will also be talk about our data scaling challenges for self-driving cars at the Workshop for Autonomous Driving. https://t.co/K6mMDASnls https://t.co/5mKhlxUNAZ
Open

NVIDIA Research at CVPR 2019

NVIDIA Researchers will present 20 accepted papers and posters, eleven of them orals, at the annual Computer Vision and Pattern Recognition (CVPR) conference June 16 – 20 in Long Beach, ...

On Jun 14, 2019
@Miles_Brundage shared
RT @david_rolnick: @johnplattml @jack_kelly @AndrewYNg @ChadFrischmann @recursix @tegan_maharaj @priyald17 More info on the #icml2019 #ClimateChangeAI workshop: Full schedule: https://t.co/3kYMkvLOT4 Livestream: https://t.co/TOpNBsLzS0 Live questions: https://t.co/iWnmYTvtri Lunch will be provided! (thanks to @element_ai)
Open

The International Conference on Machine Learning (ICML) is the premier gathering of professionals

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine ...

On Jun 10, 2019
@kchonyc shared
RT @SimonLacosteJ: Happy to announce that I am now heading part-time the SAIT AI Lab Montreal, a new academic-style research lab from Samsung Advanced Institute of Technology wholly located within the corporate space of @MILAMontreal . See https://t.co/NYu7Cd4MAO and https://t.co/TYRXJcZ5Mr https://t.co/KBXNwoWZ1t
Open

Samsung opens second Montreal-based AI lab, moves into Mila

South Korean electronics giant Samsung has moved into the Montreal Institute for Learning Algorithms to open its 2,000-square-foot artificial intelligence lab.

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On Jun 14, 2019
@ShaneLegg shared
Beautifully clear talk about AGI from @ThoreG https://t.co/xww1AUBs0A
Open

The human pursuit of artificial intelligence | Thore Graepel | TEDxExeter

What is intelligence? And how can we create it in machines? Thore Graepel takes us inside the world of artificial intelligence (AI) and reveals its potential...

On Jun 14, 2019
@samim shared
RT @WillSmithVision: Our paper on scene level inverse rendering from single uncontrolled images, InverseRenderNet, is appearing @cvpr2019 next week. Paper here: https://t.co/ZkSJ43S6zj Code and pretrained network now online: https://t.co/6aySAmaTqQ Go forth and inverse render! https://t.co/vxvTLCF3M0
Open

InverseRenderNet: Learning Single Image Inverse Rendering

InverseRenderNet: Learning single image inverse rendering Ye Yu and William A. P. Smith Department of Computer Science, University of York, UK {yy1571,william.smith}@york.ac.uk Input ...

On Jun 13, 2019
@Miles_Brundage shared
RT @ClementDelangue: What GPT-2 has to say about tonight: https://t.co/LTqU6fMyyl https://t.co/MljlVmNzti
Open

Transfer Learning in NLP; Applications to Conversational AI with Hugging Face

Thu, Jun 13, 2019, 6:30 PM: Lysandre Debut, Machine Learning Engineer @ Hugging Face will be joining us to discuss transfer learning in NLP and the applications to conversational ...

On Jun 13, 2019
@peteskomoroch shared
RT @dansitu: Exciting news 😲 I'm working with @petewarden on #TinyML, an introduction to #MachineLearning with @TensorFlow on Arduino and ultra-low power microcontrollers, and it's now available in Early Release from @OReillyMedia! We'd LOVE your early feedback 📖 → https://t.co/WXql72oKo2 https://t.co/ZpZHxa3XTG
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TinyML

Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size—small enough to work on the digital ...

On Jun 16, 2019
@jeremyphoward shared
RT @agent_cooper: @telarium For scene understanding (detecting surfaces, people, places, and things) start with the Coursera certificate in Machine Learning, then the https://t.co/SLIORC2aj9 classes.
Open

Making neural nets uncool again

It’s a small world indeed… The dataset collection The following categories are currently included in the collection: Image classification, with a focus on fine-grained classification and ...

On Jun 10, 2019
@_rockt shared
RT @facebookai: Hi from #ICML2019! Check out Facebook AI research being presented this year in our blog and stop by our booth to try demos, chat about our work, or learn about career opportunities. https://t.co/62pGqBRJRe
Open

Facebook Research at ICML 2019

Facebook researchers and engineers will present a wide range of work at the 2019 International Conference on Machine Learning.

On Jun 13, 2019
@jeremyphoward shared
A curated list of decision, classification and regression tree research papers from the last 30 years with implementations. It covers NeurIPS, ICML, ICLR, KDD, ICDM, CIKM, AAAI etc. https://t.co/JDj6bkTYth
Open

Awesome Decision Tree Research Papers

A collection of research papers on decision, classification and regression trees with implementations. - benedekrozemberczki/awesome-decision-tree-papers

On Jun 9, 2019
@yoavgo shared
@srockets @am_ph @amirvaxman מוסיף גם את https://t.co/GdPC39nB6z שנמצא חינמי ברשת. (לא לדיפ לרנינג)
Open

A Course in Machine Learning

CIML is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, ...

On Jun 12, 2019
@Miles_Brundage shared
RT @hardmaru: Weight Agnostic Neural Networks 🦎 Inspired by precocial species in biology, we set out to search for neural net architectures that can already (sort of) perform various tasks even when they use random weight values. Article: https://t.co/bpe6V3Rp9m PDF: https://t.co/7OJGEsRnVV https://t.co/El2uzgxS5I
Open

Weight Agnostic Neural Networks

Networks that can already (sort of) perform tasks with random weights.