End-to-End Object Detection with Transformers
Carion et al.: https://arxiv.org/abs/2005.12872
Colab: https://colab.research.google.com/drive/1rPm0-UrWHpJJRX9PsNb5SpzZiUlMh7wm
#ArtificialIntelligence #DeepLearning #Transformers
Carion et al.: https://arxiv.org/abs/2005.12872
Colab: https://colab.research.google.com/drive/1rPm0-UrWHpJJRX9PsNb5SpzZiUlMh7wm
#ArtificialIntelligence #DeepLearning #Transformers
Google
detr_demo.ipynb
Colaboratory notebook
Neuroevolution of Self-Interpretable Agents
Tang et al.: https://arxiv.org/abs/2003.08165
#NeuralComputing #EvolutionaryComputing #MachineLearning
Tang et al.: https://arxiv.org/abs/2003.08165
#NeuralComputing #EvolutionaryComputing #MachineLearning
Playing Atari with Six Neurons
Cuccu et al.: https://arxiv.org/abs/1806.01363
#MachineLearning #ArtificialIntelligence #NeuralComputing
Cuccu et al.: https://arxiv.org/abs/1806.01363
#MachineLearning #ArtificialIntelligence #NeuralComputing
arXiv.org
Playing Atari with Six Neurons
Deep reinforcement learning, applied to vision-based problems like Atari games, maps pixels directly to actions; internally, the deep neural network bears the responsibility of both extracting...
Improving the Neural Algorithm of Artistic Style
Roman Novak, Yaroslav Nikulin : https://arxiv.org/abs/1605.04603
#Art #DeepLearning #NeuralNetworks
Roman Novak, Yaroslav Nikulin : https://arxiv.org/abs/1605.04603
#Art #DeepLearning #NeuralNetworks
Stanford's Natural Language Processing with Deep Learning is one of the most respected courses on the topic that you will find anywhere, and the course materials are freely available online.
To be clear, this isn't a recent occurrence; Stanford's Natural Language Processing with Deep Learning (CS224n) materials have been available online for quite some time, years in fact, and the available materials are constantly being updated to closely reflect what the in-school course looks like at any given time. And to be even more clear, there is no option to enroll, as this is not a MOOC; it is simply the freely available materials from this world-class course on the topic of deep learning with NLP.
https://www.kdnuggets.com/2020/05/best-nlp-deep-learning-course-free.html
To be clear, this isn't a recent occurrence; Stanford's Natural Language Processing with Deep Learning (CS224n) materials have been available online for quite some time, years in fact, and the available materials are constantly being updated to closely reflect what the in-school course looks like at any given time. And to be even more clear, there is no option to enroll, as this is not a MOOC; it is simply the freely available materials from this world-class course on the topic of deep learning with NLP.
https://www.kdnuggets.com/2020/05/best-nlp-deep-learning-course-free.html
KDnuggets
The Best NLP with Deep Learning Course is Free - KDnuggets
Stanford's Natural Language Processing with Deep Learning is one of the most respected courses on the topic that you will find anywhere, and the course materials are freely available online.
List of Open-Source RL Algorithms
By Sergey Kolesnikov, https://docs.google.com/spreadsheets/d/1EeFPd-XIQ3mq_9snTlAZSsFY7Hbnmd7P5bbT8LPuMn0/edit#gid=0
#DeepLearning #MachineLearning #ReinforcementLearning
By Sergey Kolesnikov, https://docs.google.com/spreadsheets/d/1EeFPd-XIQ3mq_9snTlAZSsFY7Hbnmd7P5bbT8LPuMn0/edit#gid=0
#DeepLearning #MachineLearning #ReinforcementLearning
Google Docs
Open-source RL
There are hundreds of free research talks happening online these days.
This site organizes them by date, topic, institution and other categories.
Check out the 100+ offerings in CS: https://researchseminars.org/talks
(v/professors at MitMath) #onlinetalks #seminars #wednesdaywisdom
This site organizes them by date, topic, institution and other categories.
Check out the 100+ offerings in CS: https://researchseminars.org/talks
(v/professors at MitMath) #onlinetalks #seminars #wednesdaywisdom
researchseminars.org
researchseminars.org - Browse talks
Welcome to researchseminars.org, a list of research seminars and conferences!
@ArtificialIntelligenceArticles
https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/yoshua-bengio-revered-architect-of-ai-has-some-ideas-about-what-to-build-next
@ArtificialIntelligenceArticles
https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/yoshua-bengio-revered-architect-of-ai-has-some-ideas-about-what-to-build-next
@ArtificialIntelligenceArticles
IEEE Spectrum
Yoshua Bengio, Revered Architect of AI, Has Some Ideas About What to Build Next
The Turing Award winner wants AI systems that can reason, plan, and imagine
uergen Schmidhuber: Critique of Turing Award for Drs. Bengio & Hinton & LeCun
@ArtificialIntelligenceArticles
http://people.idsia.ch/~juergen/critique-turing-award-bengio-hinton-lecun.html
@ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
http://people.idsia.ch/~juergen/critique-turing-award-bengio-hinton-lecun.html
@ArtificialIntelligenceArticles
people.idsia.ch
Critique of Turing Award for Drs. Bengio & Hinton & LeCun
ACM lauds them for work that did not cite the origins of the used methods. But science is self-correcting (Nature 577 p 9, 2020).
AI Paper Summary Video
Paper: BERT: Pre-training of Deep Bidirectional Transformers forLanguage Understanding
Link: https://arxiv.org/pdf/1810.04805.pdf
Video Summary: https://youtu.be/M4rq1Ce6wyM
Summary by Dhruvil Karani (Data Scientist)
B.Eng. (IIT Guwahati)
Paper: BERT: Pre-training of Deep Bidirectional Transformers forLanguage Understanding
Link: https://arxiv.org/pdf/1810.04805.pdf
Video Summary: https://youtu.be/M4rq1Ce6wyM
Summary by Dhruvil Karani (Data Scientist)
B.Eng. (IIT Guwahati)
YouTube
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (AI Paper Summary)
Paper: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Link: https://arxiv.org/pdf/1810.04805.pdf
Summary by Dhruvil Karani (Data Scientist)
B.Eng. (IIT Guwahati)
Link: https://arxiv.org/pdf/1810.04805.pdf
Summary by Dhruvil Karani (Data Scientist)
B.Eng. (IIT Guwahati)
On the Measure of Intelligence by François Chollet - Part 4: The ARC Challenge (Paper Explained)
https://www.youtube.com/watch?v=O9kFX33nUcU
https://www.youtube.com/watch?v=O9kFX33nUcU
YouTube
On the Measure of Intelligence by François Chollet - Part 4: The ARC Challenge (Paper Explained)
In this part, we look at the ARC challenge as a proposed test of machine intelligence. The dataset features 1000 tasks that test rapid generalization based on human core knowledge priors, such as object-ness, symmetry, and navigation.
OUTLINE:
0:00 - Intro…
OUTLINE:
0:00 - Intro…
To help practitioners keep fairness considerations at the forefront of their minds, Google’s engineering education and ML fairness teams developed a 60-minute self-study training module on fairness. https://www.blog.google/technology/ai/new-course-teach-people-about-fairness-machine-learning/
Google
A new course to teach people about fairness in machine learning
Google’s engineering education and ML fairness teams developed a 60-minute self-study training module on fairness, which is now available publicly as part of our popular Machine Learning Crash Course