Evolving Neural Networks
A tutorial on evolutionary algorithms
Blog by Conor Lazarou : https://towardsdatascience.com/evolving-neural-networks-b24517bb3701
#EvolutionaryAlgorithms #NeuralNetworks #ReinforcementLearning
A tutorial on evolutionary algorithms
Blog by Conor Lazarou : https://towardsdatascience.com/evolving-neural-networks-b24517bb3701
#EvolutionaryAlgorithms #NeuralNetworks #ReinforcementLearning
Medium
Evolving Neural Networks
For the past decade, deep learning has dominated the machine learning landscape, often to the exclusion of other techniques. As a data…
PaperRobot: Incremental Draft Generation of Scientific Ideas
Wang et al.: https://arxiv.org/abs/1905.07870
#ArtificialIntelligence #MachineLearning #DeepLearning
Wang et al.: https://arxiv.org/abs/1905.07870
#ArtificialIntelligence #MachineLearning #DeepLearning
arXiv.org
PaperRobot: Incremental Draft Generation of Scientific Ideas
We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and constructing...
Open-Source RL Algorithms
By Sergey Kolesnikov : https://docs.google.com/spreadsheets/d/1EeFPd-XIQ3mq_9snTlAZSsFY7Hbnmd7P5bbT8LPuMn0/
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
By Sergey Kolesnikov : https://docs.google.com/spreadsheets/d/1EeFPd-XIQ3mq_9snTlAZSsFY7Hbnmd7P5bbT8LPuMn0/
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
Google Docs
Open-source RL
Frameworks
Execution,Algorithms (discrete / continuous / both),Additional features
Project,link,Maintainer,Framework,Parallel,Distributed,DQN,Rainbow,REINFORCE,A2C,PPO,DDPG,SAC,TD3,REINFORCE,A2C,PPO,TRPO,GAIL,n-step
return
<a href="https://github.com/o…
Execution,Algorithms (discrete / continuous / both),Additional features
Project,link,Maintainer,Framework,Parallel,Distributed,DQN,Rainbow,REINFORCE,A2C,PPO,DDPG,SAC,TD3,REINFORCE,A2C,PPO,TRPO,GAIL,n-step
return
<a href="https://github.com/o…
This Open Sourced Python library ‘audit-AI’ does Bias Testing for Generalized Machine Learning Applications
Github Link: https://github.com/pymetrics/audit-ai
Related Paper: https://arxiv.org/pdf/1906.09208.pdf
Github Link: https://github.com/pymetrics/audit-ai
Related Paper: https://arxiv.org/pdf/1906.09208.pdf
GitHub
GitHub - pymetrics/audit-ai: detect demographic differences in the output of machine learning models or other assessments
detect demographic differences in the output of machine learning models or other assessments - pymetrics/audit-ai
Accelerating TSNE with GPUs: From hours to seconds
Blog by Daniel Han-Chen : https://medium.com/rapids-ai/tsne-with-gpus-hours-to-seconds-9d9c17c941db
#MachineLearning #DataVisualization #DataScience
Blog by Daniel Han-Chen : https://medium.com/rapids-ai/tsne-with-gpus-hours-to-seconds-9d9c17c941db
#MachineLearning #DataVisualization #DataScience
Medium
Accelerating TSNE with GPUs: From hours to seconds
RAPIDS TSNE runs 2000x faster on GPUs — That’s 3 hours down to 5 seconds!
Learning Data Manipulation for Augmentation and Weighting
Hu et al.: https://arxiv.org/abs/1910.12795
Code: https://github.com/tanyuqian/learning-data-manipulation
#ArtificialIntelligence #DeepLearning #NeurIPS2019
Hu et al.: https://arxiv.org/abs/1910.12795
Code: https://github.com/tanyuqian/learning-data-manipulation
#ArtificialIntelligence #DeepLearning #NeurIPS2019
Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks
Katherine L. Hermann, Simon Kornblith : https://arxiv.org/abs/1911.09071
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Katherine L. Hermann, Simon Kornblith : https://arxiv.org/abs/1911.09071
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Continual Unsupervised Representation Learning
Rao et al.: https://arxiv.org/abs/1910.14481
Code: https://github.com/deepmind/deepmind-research/tree/master/curl
#ArtificialIntelligence #DeepLearning #NeurIPS2019
Rao et al.: https://arxiv.org/abs/1910.14481
Code: https://github.com/deepmind/deepmind-research/tree/master/curl
#ArtificialIntelligence #DeepLearning #NeurIPS2019
EfficientDet: Scalable and Efficient Object Detection
Tan et al.: https://arxiv.org/abs/1911.09070
#ArtificialIntelligence #DeepLearning #MachineLearning
Tan et al.: https://arxiv.org/abs/1911.09070
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
EfficientDet: Scalable and Efficient Object Detection
Model efficiency has become increasingly important in computer vision. In this paper, we systematically study neural network architecture design choices for object detection and propose several...
Challenges of Self-Supervision via Interaction in Robotics
Presentation by Julian Ibarz : https://bit.ly/2O0ZQZA
#ArtificialIntelligence #DeepLearning #Robotics
Presentation by Julian Ibarz : https://bit.ly/2O0ZQZA
#ArtificialIntelligence #DeepLearning #Robotics
This Browser Extension ‘GPTrue or False’ Can Identify AI Written Content
Github: https://github.com/thesofakillers/GPTrue-or-False
Chrome Extension: https://chrome.google.com/webstore/search/Gptrue%20or%20false
https://www.marktechpost.com/2019/11/21/this-browser-extension-gptrue-or-false-can-identify-ai-written-content/
Github: https://github.com/thesofakillers/GPTrue-or-False
Chrome Extension: https://chrome.google.com/webstore/search/Gptrue%20or%20false
https://www.marktechpost.com/2019/11/21/this-browser-extension-gptrue-or-false-can-identify-ai-written-content/
GitHub
GitHub - thesofakillers/GPTrue-or-False: 📝🔍 A browser extension that displays the GPT-2 Log Probability of selected text
📝🔍 A browser extension that displays the GPT-2 Log Probability of selected text - GitHub - thesofakillers/GPTrue-or-False: 📝🔍 A browser extension that displays the GPT-2 Log Probability of selected...
Unsupervised Model Selection for Variational Disentangled Representation Learning
Duan et al.: https://arxiv.org/abs/1905.12614
Code: https://github.com/google-research/disentanglement_lib#udr-experiments
#ArtificialIntelligence #DeepLearning #MachineLearning
Duan et al.: https://arxiv.org/abs/1905.12614
Code: https://github.com/google-research/disentanglement_lib#udr-experiments
#ArtificialIntelligence #DeepLearning #MachineLearning
Cerebras CS-1
Industry’s Fastest Artificial Intelligence Computer
Blog by Andy Hock : https://www.cerebras.net/introducing-the-cerebras-cs-1-the-industrys-fastest-artificial-intelligence-computer/
#ArtificialIntelligence #DeepLearning #MachineLearning
Industry’s Fastest Artificial Intelligence Computer
Blog by Andy Hock : https://www.cerebras.net/introducing-the-cerebras-cs-1-the-industrys-fastest-artificial-intelligence-computer/
#ArtificialIntelligence #DeepLearning #MachineLearning
Cerebras
Introducing the Cerebras CS-1, the Industry’s Fastest Artificial Intelligence Computer - Cerebras
Back in August, Cerebras took the industry by storm by announcing the Wafer-Scale Engine (WSE). The WSE is the largest commercial chip ever manufactured, and the industry’s first wafer-scale processor, built from the ground up to solve the problem of deep…
Learning Autocomplete Systems as a Communication Game
Lee et al.: https://arxiv.org/abs/1911.06964
#ArtificialIntelligence #DeepLearning #MachineLearning
Lee et al.: https://arxiv.org/abs/1911.06964
#ArtificialIntelligence #DeepLearning #MachineLearning
How to recognize AI snake oil
Arvind Narayanan : https://www.cs.princeton.edu/~arvindn/talks/MIT-STS-AI-snakeoil.pdf
#ArtificialIntelligence #DeepLearning #MachineLearning
Arvind Narayanan : https://www.cs.princeton.edu/~arvindn/talks/MIT-STS-AI-snakeoil.pdf
#ArtificialIntelligence #DeepLearning #MachineLearning
What a pleasant surprise to receive the book "Tools and Weapons", by Brad Smith & Carol Ann Browne, from Microsoft today!
As an expert in government policy analysis, I can't wait to read it and discuss the promise and the peril of the digital age.
#ArtificialIntelligence #Microsoft
As an expert in government policy analysis, I can't wait to read it and discuss the promise and the peril of the digital age.
#ArtificialIntelligence #Microsoft
Lucid
A collection of infrastructure and tools for research in neural network interpretability : https://github.com/tensorflow/lucid
#Tensorflow #Interpretability #Visualization #MachineLearning #Colab
A collection of infrastructure and tools for research in neural network interpretability : https://github.com/tensorflow/lucid
#Tensorflow #Interpretability #Visualization #MachineLearning #Colab
GitHub
GitHub - tensorflow/lucid: A collection of infrastructure and tools for research in neural network interpretability.
A collection of infrastructure and tools for research in neural network interpretability. - tensorflow/lucid
Human–machine partnership with artificial intelligence for chest radiograph diagnosis
https://www.nature.com/articles/s41746-019-0189-7.pdf
https://www.nature.com/articles/s41746-019-0189-7.pdf
https://qz.com/1750852/what-ai-chips-do-to-peoples-brains/amp/?__twitter_impression=true
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Quartz
The brain is the final frontier of our privacy, and AI is about to breach it
The biggest issues facing the nascent brain-interface industry are security, surveillance, and privacy.