Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks
Foong et al.: https://arxiv.org/abs/1909.00719
#Bayesian #NeuralNetworks #MachineLearning
Foong et al.: https://arxiv.org/abs/1909.00719
#Bayesian #NeuralNetworks #MachineLearning
Wave Physics as an Analog Recurrent Neural Network
Hughes et al.: https://arxiv.org/abs/1904.12831
#Physics #Artificialintelligence #DeepLearning
@ArtificialIntelligenceArticles
Hughes et al.: https://arxiv.org/abs/1904.12831
#Physics #Artificialintelligence #DeepLearning
@ArtificialIntelligenceArticles
arXiv.org
Wave Physics as an Analog Recurrent Neural Network
Analog machine learning hardware platforms promise to be faster and more energy-efficient than their digital counterparts. Wave physics, as found in acoustics and optics, is a natural candidate...
UCL Course on Reinforcement Learning
RL Course by David Silver : https://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html
#reinforcementlearning #machinelearning #deeplearning
@ArtificialIntelligenceArticles
RL Course by David Silver : https://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html
#reinforcementlearning #machinelearning #deeplearning
@ArtificialIntelligenceArticles
https://eventbrite.ca/e/nlp-montreal-2019-workshop-mila-rali-ivado-crm-tickets-70277799791#tickets
@ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
Eventbrite
NLP Montreal 2019 Workshop (Mila, RALI, IVADO, CRM)
NLP Montreal 2019 is a workshop on natural language processing (NLP) and understanding, with the aim to facilitate interactions between our partners, students and faculty members. The intended audience is individuals who are already familiar with the subject…
First fastMRI challenge now open for submissions
https://ai.facebook.com/blog/fastmri-challenge/
https://ai.facebook.com/blog/fastmri-challenge/
Facebook
First fastMRI challenge now open for submissions
The first ever fastMRI image reconstruction challenge begins today! Based on the fastMRI research project launched by Facebook AI and NYU Langone Health, the challenge aims to reduce the time required to obtain diagnostic-quality images. Winning teams will…
A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in betw... https://arxiv.org/abs/1909.00021
Creating a data set and a challenge for deepfakes
https://ai.facebook.com/blog/deepfake-detection-challenge/
https://ai.facebook.com/blog/deepfake-detection-challenge/
With $17M in funding, John’s Hopkins launches Center for Psychedelic and Consciousness Research
https://hub.jhu.edu/2019/09/04/hopkins-launches-psychedelic-center/
https://hub.jhu.edu/2019/09/04/hopkins-launches-psychedelic-center/
Johns Hopkins University
Johns Hopkins launches center for psychedelic research
The center, believed to be the first and largest of its kind, will use psychedelics to study the mind, identify therapies for diseases such as addiction, PTSD, Alzheimer's
Interactive Conditional Density Estimation with Neural Networks - PyTorch & Bokeh
By Imad El Hanafi :
Blog: https://imadelhanafi.com/posts/conditional_density_estimation_nn/
Github: https://github.com/imadelh/Neural-CDE
Live version: https://nn-cde.imadelhanafi.com/
#pytorch #neuralnetworks #machinelearning
By Imad El Hanafi :
Blog: https://imadelhanafi.com/posts/conditional_density_estimation_nn/
Github: https://github.com/imadelh/Neural-CDE
Live version: https://nn-cde.imadelhanafi.com/
#pytorch #neuralnetworks #machinelearning
Conditional Density Estimation with Neural Networks
Conditional Density Estimation with Neural Networks :: Imad El Hanafi — Portfolio & Blog
Conditional Density Estimation with Neural Networks Github repo
Live version
Introduction In the context of supervised learning, our goal is to capture a relationship between some observations $\bold{x} = \lbrace x _i \rbrace _{i=1}^{N}$ and a dependent…
Live version
Introduction In the context of supervised learning, our goal is to capture a relationship between some observations $\bold{x} = \lbrace x _i \rbrace _{i=1}^{N}$ and a dependent…
ParaQG: A System for Generating Questions and Answers from Paragraphs
Kumar et al.: https://arxiv.org/abs/1909.01642
#ArtificialIntelligence #Language #MachineLearning
Kumar et al.: https://arxiv.org/abs/1909.01642
#ArtificialIntelligence #Language #MachineLearning
Mathematics for Machine Learning with 75+ video tutorials, 8+ hours of FREE content.
[https://www.youtube.com/playlist?list=PLcQCwsZDEzFmlSc6levE3UV9rZ8yY-D_7](https://www.youtube.com/playlist?list=PLcQCwsZDEzFmlSc6levE3UV9rZ8yY-D_7)
[https://www.youtube.com/playlist?list=PLcQCwsZDEzFmlSc6levE3UV9rZ8yY-D_7](https://www.youtube.com/playlist?list=PLcQCwsZDEzFmlSc6levE3UV9rZ8yY-D_7)
Write With Transformer
Hugging Face released a new version of their Write With Transformer app, using a language model trained directly on Arxiv to generate Deep Learning and NLP completions!
In addition, they add state-of-the-art NLP models such as GPT, GPT-2 and XLNet completions:
https://transformer.huggingface.co/
H / T : Lysandre Debut
#Transformer #Pytorch #NLP
@ArtificialIntelligenceArticles
Hugging Face released a new version of their Write With Transformer app, using a language model trained directly on Arxiv to generate Deep Learning and NLP completions!
In addition, they add state-of-the-art NLP models such as GPT, GPT-2 and XLNet completions:
https://transformer.huggingface.co/
H / T : Lysandre Debut
#Transformer #Pytorch #NLP
@ArtificialIntelligenceArticles
banana-projects-transformer-autocomplete.hf.space
Write With Transformer
See how a modern neural network auto-completes your text
Deep Equilibrium Models
Bai et al.: https://arxiv.org/abs/1909.01377
Code: https://github.com/locuslab/deq
Video: https://youtube.com/watch?v=ZA5FpkYhkAI
#MachineLearning #DeepLearning #ArtificialIntelligence
Bai et al.: https://arxiv.org/abs/1909.01377
Code: https://github.com/locuslab/deq
Video: https://youtube.com/watch?v=ZA5FpkYhkAI
#MachineLearning #DeepLearning #ArtificialIntelligence
arXiv.org
Deep Equilibrium Models
We present a new approach to modeling sequential data: the deep equilibrium model (DEQ). Motivated by an observation that the hidden layers of many existing deep sequence models converge towards...
Google Dataset Search
https://toolbox.google.com/datasetsearch
#artificialintelligence #deeplearning #machinelearning
https://toolbox.google.com/datasetsearch
#artificialintelligence #deeplearning #machinelearning
Researchers have created the most detailed map of the mouse brain to date, capturing the projections and connections of over 1,000 neurons (and counting).
https://gfycat.com/limitedorganicleopardseal-rsciences
Press release describing the research available here.
Research article: https://www.cell.com/cell/fulltext/S0092-8674(19)30842-6
Cool tool, where you can browse the connectome: https://ml-neuronbrowser.janelia.org/
https://t.iss.one/ArtificialIntelligenceArticles
https://gfycat.com/limitedorganicleopardseal-rsciences
Press release describing the research available here.
Research article: https://www.cell.com/cell/fulltext/S0092-8674(19)30842-6
Cool tool, where you can browse the connectome: https://ml-neuronbrowser.janelia.org/
https://t.iss.one/ArtificialIntelligenceArticles
Gfycat
Mouse Brain Neural Connectome GIF by sirtsix | Gfycat
Watch and share Mouse Brain Neural Connectome GIFs by sirtsix on Gfycat
SqueezeNAS: Fast neural architecture search for faster semantic segmentation
https://export.arxiv.org/abs/1908.01748
https://export.arxiv.org/abs/1908.01748
PyTorch for Deep Learning with Python Bootcamp
https://couponportable.blogspot.com/2019/09/pytorch-for-deep-learning-with-python.html
https://couponportable.blogspot.com/2019/09/pytorch-for-deep-learning-with-python.html
Evolution Strategies
Blog by Lilian Weng : https://lilianweng.github.io/lil-log/2019/09/05/evolution-strategies.html
#Evolution #MachineLearning #ReinforcementLearning
Blog by Lilian Weng : https://lilianweng.github.io/lil-log/2019/09/05/evolution-strategies.html
#Evolution #MachineLearning #ReinforcementLearning
How is AI re-architecting different industries? Watch Andrew's fireside chat with TechCrunch's Lucas Matney: https://hubs.ly/H0kF0hx0