"The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities"
By Lehman, Clune, Misevic et al.: https://arxiv.org/pdf/1803.03453.pdf
#ArtificialLife #DigitalEvolution #EvolutionStrategy
By Lehman, Clune, Misevic et al.: https://arxiv.org/pdf/1803.03453.pdf
#ArtificialLife #DigitalEvolution #EvolutionStrategy
"Visualizing and Measuring the Geometry of BERT"
Coenen et al.: https://arxiv.org/abs/1906.02715
Blog post : https://pair-code.github.io/interpretability/bert-tree/
#ArtificialIntelligence #DeepLearning #MachineLearning
Coenen et al.: https://arxiv.org/abs/1906.02715
Blog post : https://pair-code.github.io/interpretability/bert-tree/
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
Visualizing and Measuring the Geometry of BERT
Transformer architectures show significant promise for natural language processing. Given that a single pretrained model can be fine-tuned to perform well on many different tasks, these networks...
"Learning to Traverse Latent Spaces for Musical Score Inpainting"
Pati et al.: https://arxiv.org/abs/1907.01164
GitHub: https://github.com/ashispati/InpaintNet
Demo: https://ashispati.github.io/inpaintnet/
#ArtificialIntelligence #MachineLearning #Music
Pati et al.: https://arxiv.org/abs/1907.01164
GitHub: https://github.com/ashispati/InpaintNet
Demo: https://ashispati.github.io/inpaintnet/
#ArtificialIntelligence #MachineLearning #Music
arXiv.org
Learning to Traverse Latent Spaces for Musical Score Inpainting
Music Inpainting is the task of filling in missing or lost information in a piece of music. We investigate this task from an interactive music creation perspective. To this end, a novel deep...
Everything You Need to Know About Autoencoders in TensorFlow
https://towardsdatascience.com/everything-you-need-to-know-about-autoencoders-in-tensorflow-b6a63e8255f0
https://towardsdatascience.com/everything-you-need-to-know-about-autoencoders-in-tensorflow-b6a63e8255f0
Medium
Everything You Need to Know About Autoencoders in TensorFlow
From theory to implementation in TensorFlow
"Behind the Selection of the NeurIPS 2019 Workshops"
By Neural Information Processing Systems Conference: https://medium.com/@NeurIPSConf/2019workshops-ec820e4d558e
#MachineLearning #Neurips2019 #DeepLearning #ReinforcementLearning #Neurips
By Neural Information Processing Systems Conference: https://medium.com/@NeurIPSConf/2019workshops-ec820e4d558e
#MachineLearning #Neurips2019 #DeepLearning #ReinforcementLearning #Neurips
Medium
Behind the Selection of the NeurIPS 2019 Workshops
NeurIPS 2019 workshop decisions just went out! Read on to hear all about the review process and see a preliminary list of workshops.
Let’s code a Neural Network in plain NumPy
Blog by Piotr Skalski: https://towardsdatascience.com/lets-code-a-neural-network-in-plain-numpy-ae7e74410795
#artificialintelligence #neuralnetwork #numpy
@ArtificialIntelligenceArticles
Blog by Piotr Skalski: https://towardsdatascience.com/lets-code-a-neural-network-in-plain-numpy-ae7e74410795
#artificialintelligence #neuralnetwork #numpy
@ArtificialIntelligenceArticles
Medium
Let’s code a Neural Network in plain NumPy
Mysteries of Neural Networks Part III
Zygote: A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
https://arxiv.org/abs/1907.07587v1
https://arxiv.org/abs/1907.07587v1
arXiv.org
Zygote: A Differentiable Programming System to Bridge Machine...
Scientific computing is increasingly incorporating the advancements in
machine learning and the ability to work with large amounts of data. At the
same time, machine learning models are becoming...
machine learning and the ability to work with large amounts of data. At the
same time, machine learning models are becoming...
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning. arxiv.org/abs/1907.08070
"Rules-of-thumb for building a Neural Network"
Blog by Chitta Ranjan : https://towardsdatascience.com/17-rules-of-thumb-for-building-a-neural-network-93356f9930af
#MachineLearning #NeuralNetwork #TensorFlow
Blog by Chitta Ranjan : https://towardsdatascience.com/17-rules-of-thumb-for-building-a-neural-network-93356f9930af
#MachineLearning #NeuralNetwork #TensorFlow
Medium
Rules-of-thumb for building a Neural Network
In this article, we will get a starting point to build an initial Neural Network. We will learn the thumb-rules, e.g. the number of hidden…
Open-Source RL List
All major model-free RL algorithms https://docs.google.com/spreadsheets/d/1EeFPd-XIQ3mq_9snTlAZSsFY7Hbnmd7P5bbT8LPuMn0/edit#gid=0
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
All major model-free RL algorithms https://docs.google.com/spreadsheets/d/1EeFPd-XIQ3mq_9snTlAZSsFY7Hbnmd7P5bbT8LPuMn0/edit#gid=0
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
Google Docs
Open-source RL
Wow 😲 , Lyft just open sourced its autonomous driving dataset from its Level 5 self-driving fleet!
Download: https://level5.lyft.com/dataset/
___________________________________________
For reference, the Lyft Level 5 Dataset includes:
1) Over 55,000 human-labeled 3D annotated frames;
2) Data from 7 cameras and up to 3 lidars;
3) A drivable surface map; and,
4) An underlying HD spatial semantic map (including lanes, crosswalks, etc.)
___________________________________________
Download: https://level5.lyft.com/dataset/
___________________________________________
For reference, the Lyft Level 5 Dataset includes:
1) Over 55,000 human-labeled 3D annotated frames;
2) Data from 7 cameras and up to 3 lidars;
3) A drivable surface map; and,
4) An underlying HD spatial semantic map (including lanes, crosswalks, etc.)
___________________________________________
https://www.marktechpost.com/2019/06/09/getting-started-with-pytorch-in-google-collab-with-free-gpu/
MarkTechPost
Getting Started With Pytorch In Google Collab With Free GPU
Pytorch is a deep learning framework for Python programming language based on Torch, which is an open-source package based on the programming language Lua.
SentiMATE: Learning to play Chess through Natural Language Processing. arxiv.org/abs/1907.08321
2019 Google Scholar Metrics Released, CVPR Cracks the Top Ten
Estimates peg the total number of academic papers and other scholarly literature indexed on the Google Scholar at almost 400 million, making it the world’s largest such database. To compile the index Google surveys hundreds of journals and websites that meet its inclusion guidelines, along with leading conferences in Engineering & Computer Science.
In a blog post last Friday Google released its 2019 Scholar Metrics, designed to “provide an easy way for authors to quickly gauge the visibility and influence of recent articles in scholarly publications …to help authors as they consider where to publish their new research.” One of the top AI conferences — IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ranked in the top 10 for the first time, up from 20th in 2018. The world’s most prominent scientific journals, Nature and Science, ranked first and third respectively.
https://medium.com/syncedreview/2019-google-scholar-metrics-released-cvpr-cracks-the-top-ten-905deebbf833
Estimates peg the total number of academic papers and other scholarly literature indexed on the Google Scholar at almost 400 million, making it the world’s largest such database. To compile the index Google surveys hundreds of journals and websites that meet its inclusion guidelines, along with leading conferences in Engineering & Computer Science.
In a blog post last Friday Google released its 2019 Scholar Metrics, designed to “provide an easy way for authors to quickly gauge the visibility and influence of recent articles in scholarly publications …to help authors as they consider where to publish their new research.” One of the top AI conferences — IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ranked in the top 10 for the first time, up from 20th in 2018. The world’s most prominent scientific journals, Nature and Science, ranked first and third respectively.
https://medium.com/syncedreview/2019-google-scholar-metrics-released-cvpr-cracks-the-top-ten-905deebbf833
Medium
2019 Google Scholar Metrics Released, CVPR Cracks the Top Ten
Estimates peg the total number of academic papers and other scholarly literature indexed on the Google Scholar at almost 400 million…
Compositional Deep Learning. arxiv.org/abs/1907.08292
Good free course on ray-tracing, can be useful for those who want s to work in 3d area
https://www.youtube.com/playlist?list=PLujxSBD-JXgnGmsn7gEyN28P1DnRZG7qi
https://www.youtube.com/playlist?list=PLujxSBD-JXgnGmsn7gEyN28P1DnRZG7qi
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments
Elaheh Barati and Xuewen Chen : https://arxiv.org/abs/1907.09466
#reinforcementlearning #neuralnetwork #neuralnetworks #deeplearning
Elaheh Barati and Xuewen Chen : https://arxiv.org/abs/1907.09466
#reinforcementlearning #neuralnetwork #neuralnetworks #deeplearning
arXiv.org
An Actor-Critic-Attention Mechanism for Deep Reinforcement...
In reinforcement learning algorithms, leveraging multiple views of the environment can improve the learning of complicated policies. In multi-view environments, due to the fact that the views may...