Creative improvisation is at the root of jazz and science.

https://www.openculture.com/2016/07/the-secret-link-between-jazz-and-physics-how-einstein-coltrane-shared-improvisation-and-intuition-in-common.html

Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
Nachum et al.: https://arxiv.org/abs/1908.05224
#Robotics #ArtificialIntelligence #MachineLearning

Something really really cool!🙂
#weekend_read
Paper-Title: Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real #GoogleAI
Link to the paper: https://arxiv.org/pdf/1908.05224.pdf
Link to the videos: https://sites.google.com/view/manipulation-via-locomotion
TL;DR: They have presented successful zero-shot transfer of policies trained in simulation to perform difficult locomotion and manipulation via locomotion tasks. The key to their method is the imposition of hierarchy, which introduces modularity into the domain randomization process and enables the learning of increasingly complex behaviours.

Best Resources for Getting Started With GANs
https://machinelearningmastery.com/resources-for-getting-started-with-generative-adversarial-networks/

Pytorch Implementation of Autoregressive Language Model
https://github.com/lyeoni/pretraining-for-language-understanding

Unconstrained Monotonic Neural Networks

Antoine Wehenkel and Gilles Louppe : https://arxiv.org/abs/1908.05164

#NeuralNetworks #MachineLearning #NeuralComputing

12 NLP Researchers, Practitioners & Innovators You Should Be Following
Check out this list of NLP researchers, practitioners and innovators you should be following, including academics, practitioners, developers, entrepreneurs, and more.
https://www.kdnuggets.com/2019/08/nlp-researchers-practitioners-innovators-should-follow.html

Conditional Neural Processes
Garnelo et al.: https://arxiv.org/abs/1807.01613
1. Repo: https://github.com/deepmind/neural-processes
2. NoteBook: https://github.com/deepmind/neural-processes/blob/master/conditional_neural_process.ipynb
#ArtificialIntelligence #MachineLearning

A guide to convolution arithmetic for deep learning
Vincent Dumoulin and Francesco Visin : https://arxiv.org/pdf/1603.07285.pdf
#artificialintelligence #deeplearning #machinelearning

CS231n Convolutional Neural Networks for Visual Recognition

https://cs231n.github.io/neural-networks-3/#loss

Sports Matches & Artificial Intelligence
https://www.youtube.com/watch?v=kaslJ-8piSE&feature=youtu.be

Gitflow - Using git in a right way

https://sharetechlinks.com/post/detail/89/gitflow-using-git-in-a-right-way

Does Deep Learning Still Need Backpropagation?
https://syncedreview.com/2019/08/14/does-deep-learning-still-need-backpropagation/

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems. https://arxiv.org/abs/1908.05480

Automated Rib Fracture Detection of Postmortem Computed Tomography Images Using Machine Learning Techniques
https://arxiv.org/abs/1908.05467

State of the art in speech recognition from Google Researchers:

https://www.profillic.com/paper/arxiv:1907.05337

Improvement in performance by a factor of ~10 in separating speech from different speakers (Speaker diarization)

Advanced Machine Learning Online Course
https://www.eventbrite.com/e/advanced-machine-learning-online-course-tickets-65053562958?_eboga=1634426962.1549905080

gerat paper by DeepMind

Behaviour Suite for Reinforcement Learning


https://arxiv.org/abs/1908.03568v1

AutoML: A Survey of the State-of-the-Art
https://arxiv.org/abs/1908.00709 by Xin He et al.
#MachineLearning #DeepLearning