Pytorch Implementation of Autoregressive Language Model
https://github.com/lyeoni/pretraining-for-language-understanding
https://github.com/lyeoni/pretraining-for-language-understanding
GitHub
GitHub - lyeoni/pretraining-for-language-understanding: Pre-training of Language Models for Language Understanding
Pre-training of Language Models for Language Understanding - GitHub - lyeoni/pretraining-for-language-understanding: Pre-training of Language Models for Language Understanding
Unconstrained Monotonic Neural Networks
Antoine Wehenkel and Gilles Louppe : https://arxiv.org/abs/1908.05164
#NeuralNetworks #MachineLearning #NeuralComputing
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
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
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
arXiv.org
Conditional Neural Processes
Deep neural networks excel at function approximation, yet they are typically trained from scratch for each new function. On the other hand, Bayesian methods, such as Gaussian Processes (GPs),...
A guide to convolution arithmetic for deep learning
Vincent Dumoulin and Francesco Visin : https://arxiv.org/pdf/1603.07285.pdf
#artificialintelligence #deeplearning #machinelearning
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
https://cs231n.github.io/neural-networks-3/#loss
cs231n.github.io
CS231n Deep Learning for Computer Vision
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
Sports Matches & Artificial Intelligence
https://www.youtube.com/watch?v=kaslJ-8piSE&feature=youtu.be
https://www.youtube.com/watch?v=kaslJ-8piSE&feature=youtu.be
YouTube
Sports Matches & Artificial Intelligence
#ComputerVision supported by #DeepLearning to help SPORT ANALYTICS Achieving fully automated, without manual operators and wearables, real-time individual pl...
Gitflow - Using git in a right way
https://sharetechlinks.com/post/detail/89/gitflow-using-git-in-a-right-way
https://sharetechlinks.com/post/detail/89/gitflow-using-git-in-a-right-way
Sharetechlinks
Gitflow - Using Git in a right way - Share Tech Links
Git is an open-source distributed version control system that is flexible and easy to use for all kinds of teams, no matter how big or small. To adopt Git in everyday development, a model called Gitflow was introduced by Vincent Driessen to help simplify…
Does Deep Learning Still Need Backpropagation?
https://syncedreview.com/2019/08/14/does-deep-learning-still-need-backpropagation/
https://syncedreview.com/2019/08/14/does-deep-learning-still-need-backpropagation/
Synced
Does Deep Learning Still Need Backpropagation?
Now, researchers from the Victoria University of Wellington School of Engineering and Computer Science have introduced the HSIC (Hilbert-Schemidt independence criterion) bottleneck as an alternativ…
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
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)
https://www.profillic.com/paper/arxiv:1907.05337
Improvement in performance by a factor of ~10 in separating speech from different speakers (Speaker diarization)
Profillic
Profillic: AI research & source code to supercharge your projects
Explore state-of-the-art in machine learning, AI, and robotics research. Browse papers, source code, models, and more by topics and authors. Connect with researchers and engineers working on related problems in machine learning, deep learning, natural language…
Advanced Machine Learning Online Course
https://www.eventbrite.com/e/advanced-machine-learning-online-course-tickets-65053562958?_eboga=1634426962.1549905080
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
Behaviour Suite for Reinforcement Learning
https://arxiv.org/abs/1908.03568v1
arXiv.org
Behaviour Suite for Reinforcement Learning
This paper introduces the Behaviour Suite for Reinforcement Learning, or
bsuite for short. bsuite is a collection of carefully-designed experiments that
investigate core capabilities of...
bsuite for short. bsuite is a collection of carefully-designed experiments that
investigate core capabilities of...
AutoML: A Survey of the State-of-the-Art
https://arxiv.org/abs/1908.00709 by Xin He et al.
#MachineLearning #DeepLearning
https://arxiv.org/abs/1908.00709 by Xin He et al.
#MachineLearning #DeepLearning
Deep Mind just released its RL Course :
https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs
https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs
Colab ( https://colab.research.google.com ) can open notebooks directly from GitHub by simply replacing "https://github.com" with "https://colab.research.google.com/github/" in the notebook URL.
#colab #jupyternotebook #tensorflow
#colab #jupyternotebook #tensorflow
Google
Google Colab
Understanding XLNet
https://www.borealisai.com/en/blog/understanding-xlnet/
https://www.borealisai.com/en/blog/understanding-xlnet/