Paper accepted at ICLR, Improves on the previous DeepMind paper "NALU
Neural Arithmetic Units
paper https://openreview.net/forum?id=H1gNOeHKPS
code https://github.com/AndreasMadsen/stable-nalu
Neural Arithmetic Units
paper https://openreview.net/forum?id=H1gNOeHKPS
code https://github.com/AndreasMadsen/stable-nalu
OpenReview
Neural Arithmetic Units
Neural networks can approximate complex functions, but they struggle to perform exact arithmetic operations over real numbers. The lack of inductive bias for arithmetic operations leaves neural...
Best of Machine Learning in 2019
A look at 17 of the most popular projects, research papers, demos, and more from the subreddit r/MachineLearning over the past year
Few-Shot Unsupervised Image-to-Image Translation
Decomposing latent space to generate custom anime girls
A list of the biggest datasets for machine learning
...
https://heartbeat.fritz.ai/best-of-machine-learning-in-2019-reddit-edition-5fbb676a808
A look at 17 of the most popular projects, research papers, demos, and more from the subreddit r/MachineLearning over the past year
Few-Shot Unsupervised Image-to-Image Translation
Decomposing latent space to generate custom anime girls
A list of the biggest datasets for machine learning
...
https://heartbeat.fritz.ai/best-of-machine-learning-in-2019-reddit-edition-5fbb676a808
Fritz ai
Best of Machine Learning in 2019: Reddit Edition - Fritz ai
To help sift through some of the incredible projects, research, demos, and more in 2019, here’s a look at 17 of the most popular and talked-about projects in machine learning, curated from the r/MachineLearning subreddit. I hope you find something… Continue…
Paper accepted at ICLR, Improves on the previous DeepMind paper "NALU
Neural Arithmetic Units
paper https://openreview.net/forum?id=H1gNOeHKPS
code https://github.com/AndreasMadsen/stable-nalu
Neural Arithmetic Units
paper https://openreview.net/forum?id=H1gNOeHKPS
code https://github.com/AndreasMadsen/stable-nalu
OpenReview
Neural Arithmetic Units
Neural networks can approximate complex functions, but they struggle to perform exact arithmetic operations over real numbers. The lack of inductive bias for arithmetic operations leaves neural...
RVOS: End-to-End Recurrent Network for Video Object Segmentation
CVPR 2019
CODE
https://imatge-upc.github.io/rvos/
CVPR 2019
CODE
https://imatge-upc.github.io/rvos/
imatge-upc.github.io
RVOS: End-to-End Recurrent Network for Video Object Segmentation
Description here
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Clark et al.: https://openreview.net/forum?id=r1xMH1BtvB
#ArtificialIntelligence #DeepLearning #NaturalLanguageProcessing
Clark et al.: https://openreview.net/forum?id=r1xMH1BtvB
#ArtificialIntelligence #DeepLearning #NaturalLanguageProcessing
OpenReview
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than...
A text encoder trained to distinguish real input tokens from plausible fakes efficiently learns effective language representations.
Neural Smoke Stylization with Color Transfer
Christen et al.: https://arxiv.org/abs/1912.08757
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Christen et al.: https://arxiv.org/abs/1912.08757
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Pre-Debate Material
"Making the Mind"
Why we've misunderstood the nature-nurture debate.
GARY MARCUS : https://bostonreview.net/books-ideas/gary-marcus-making-mind
#AIDebate
"Making the Mind"
Why we've misunderstood the nature-nurture debate.
GARY MARCUS : https://bostonreview.net/books-ideas/gary-marcus-making-mind
#AIDebate
Boston Review
Making the Mind
Why we've misunderstood the nature-nurture debate.
GAN that can fix ambient lighting in low-quality flash-lit images!
https://www.profillic.com/paper/arxiv:1912.08813
https://www.profillic.com/paper/arxiv:1912.08813
Profillic
Ambient Lighting Generation for Flash Images with Guided Conditional Adversarial Networks - Profillic
Explore state-of-the-art in machine learning, AI, and robotics. Browse models, source code, papers by topics and authors. Connect with researchers and engineers working on related problems in machine learning, deep learning, natural language processing, robotics…
Came across this tool that lets you convert images to LaTeX
It works by taking a screenshot of maths and pasting the LaTeX into an editor with a keyboard shortcut
https://mathpix.com/
Join channel
@ArtificialIntelligenceArticles
It works by taking a screenshot of maths and pasting the LaTeX into an editor with a keyboard shortcut
https://mathpix.com/
Join channel
@ArtificialIntelligenceArticles
Mathpix
Mathpix: document conversion done right.
Convert images and PDFs to LaTeX, DOCX, Overleaf, Markdown, Excel, ChemDraw and more, with our AI-powered document conversion technology.
Bullsh*t that I and others have said about Neural ODEs
Original paper:
https://arxiv.org/abs/1806.07366
David's homepage:
https://www.cs.toronto.edu/~duvenaud/
https://www.youtube.com/watch?v=YZ-_E7A3V2w
Original paper:
https://arxiv.org/abs/1806.07366
David's homepage:
https://www.cs.toronto.edu/~duvenaud/
https://www.youtube.com/watch?v=YZ-_E7A3V2w
arXiv.org
Neural Ordinary Differential Equations
We introduce a new family of deep neural network models. Instead of specifying a discrete sequence of hidden layers, we parameterize the derivative of the hidden state using a neural network. The...
Pre-Debate Material
"The Consciousness Prior"
Yoshua Bengio : https://arxiv.org/abs/1709.08568
#DeepLearning #ArtificialIntelligence #AIDebate
"The Consciousness Prior"
Yoshua Bengio : https://arxiv.org/abs/1709.08568
#DeepLearning #ArtificialIntelligence #AIDebate
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Engelcke et al.: https://arxiv.org/abs/1907.13052
#Artificialintelligence #DeepLearning #Robotics
Engelcke et al.: https://arxiv.org/abs/1907.13052
#Artificialintelligence #DeepLearning #Robotics
My project, Mandarin Tone Trainer, is currently trending on Hacker News: https://news.ycombinator.com/item?id=21851495. I would love to get feedback on it and discuss how ML can help individuals to speak new languages.
🤩 Beyond Backpropagation
Border Pairs Method - more than 10 advantages over Backpropagation
Bipropagation - new algorithm for finding features - alternative for convolution
One Step Method - Deep learning algorithm for NN without strict layers what causes smaler number of neurons
https://www.researchgate.net/publication/322617800_New_Deep_Learning_Algorithms_beyond_Backpropagation_IBM_Developers_UnConference_2018_Zurich
Border Pairs Method - more than 10 advantages over Backpropagation
Bipropagation - new algorithm for finding features - alternative for convolution
One Step Method - Deep learning algorithm for NN without strict layers what causes smaler number of neurons
https://www.researchgate.net/publication/322617800_New_Deep_Learning_Algorithms_beyond_Backpropagation_IBM_Developers_UnConference_2018_Zurich
ResearchGate
(PDF) New Deep Learning Algorithms beyond Backpropagation IBM Developers UnConference 2018, Zurich
PDF | Description of three new algorithms beyond backpropagation: -Bipropagation -Border Pairs Method -Solving Brain Contradiction | Find, read and cite all the research you need on ResearchGate
If you are dabbling into ML/DL (deep learning)
Here is a post on how to structure your project code
with a informative quick infographic.
https://deeps.site/blog/2019/12/07/dl-project-structure/
Hope you save time by using the best practices :)
Here is a post on how to structure your project code
with a informative quick infographic.
https://deeps.site/blog/2019/12/07/dl-project-structure/
Hope you save time by using the best practices :)
deeps.site
Deep Learning project structure
Space to uncover things that tick.
Bayesian Deep Learning Benchmarks
Oxford Applied and Theoretical Machine Learning Group : https://github.com/OATML/bdl-benchmarks
#Bayesian #Benchmark #DeepLearning
Oxford Applied and Theoretical Machine Learning Group : https://github.com/OATML/bdl-benchmarks
#Bayesian #Benchmark #DeepLearning
GitHub
GitHub - OATML/bdl-benchmarks: Bayesian Deep Learning Benchmarks
Bayesian Deep Learning Benchmarks. Contribute to OATML/bdl-benchmarks development by creating an account on GitHub.
If you guys wanna get started with YOLO, take a look! YOLO is an extremely powerful object detection system.
https://becominghuman.ai/deep-learning-simplest-way-to-implement-yolo-an-extremely-powerful-object-detection-algorithm-9eae9d6191b7?gi=cc26e1486c94
https://becominghuman.ai/deep-learning-simplest-way-to-implement-yolo-an-extremely-powerful-object-detection-algorithm-9eae9d6191b7?gi=cc26e1486c94
Medium
Deep learning : Simplest way to implement YOLO — an extremely powerful object detection system— using Python
The outcome of this tutorial is to feed images to our program and in return we will get predicted-labels on our images (like the one…