Deep RL Bootcamp
By Pieter Abbeel, Rocky Duan, Peter Chen, Andrej Karpathy et al.: https://sites.google.com/view/deep-rl-bootcamp/lectures
#ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #ReinforcementLearning
By Pieter Abbeel, Rocky Duan, Peter Chen, Andrej Karpathy et al.: https://sites.google.com/view/deep-rl-bootcamp/lectures
#ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #ReinforcementLearning
This is a PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019) that I made. On most standard benchmark datasets it is considered to be the state-of-the-art deep learning model for graph classification. It can be used for molecular graph classification, fraud detection and so on. Enjoy!
https://github.com/benedekrozemberczki/CapsGNN
https://github.com/benedekrozemberczki/CapsGNN
GitHub
GitHub - benedekrozemberczki/CapsGNN: A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019). - benedekrozemberczki/CapsGNN
These must-read ML & data science books are completely free:
https://www.kdnuggets.com/2017/04/10-free-must-read-books-machine-learning-data-science.html
#weekendmotivation
https://www.kdnuggets.com/2017/04/10-free-must-read-books-machine-learning-data-science.html
#weekendmotivation
PyTorch Developer Conference 2018
https://www.facebook.com/pytorch/videos/169366590639145/
https://www.facebook.com/pytorch/videos/169366590639145/
Facebook Watch
PyTorch
Watch sessions from our PyTorch Developer Conference featuring the PyTorch community, including applied research in enterprise with Tesla, NVIDIA, Salesforce, Uber, and Allen Al, along with education providers, Udacity and fast.ai. And, we close out the conference…
A Game of Words: Vectorization, Tagging, and Sentiment Analysis
https://towardsdatascience.com/a-game-of-words-vectorization-tagging-and-sentiment-analysis-c78ff9a07e42
https://towardsdatascience.com/a-game-of-words-vectorization-tagging-and-sentiment-analysis-c78ff9a07e42
Medium
A Game of Words: Vectorization, Tagging, and Sentiment Analysis
Analyzing words from Game of Thrones Book 1 with Natural Language Processing (Part 2)
Best Papers Reinforcement Learning for Real Life
ICML 2019 Workshop
1. Lyapunov-based Safe Policy Optimization for Continuous Control
https://openreview.net/forum?id=SJgUYBVLsN
2. challenges of Real-World Reinforcement Learning
https://openreview.net/forum?id=S1xtR52NjN
3.Horizon: Facebook’s Open Source Applied Reinforcement Learning Platform
https://openreview.net/forum?id=SylQKinLi4
4. Park: An Open Platform for Learning Augmented Computer Systems
https://openreview.net/forum?id=BkgfRbEPsE
https://t.iss.one/ArtificialIntelligenceArticles
ICML 2019 Workshop
1. Lyapunov-based Safe Policy Optimization for Continuous Control
https://openreview.net/forum?id=SJgUYBVLsN
2. challenges of Real-World Reinforcement Learning
https://openreview.net/forum?id=S1xtR52NjN
3.Horizon: Facebook’s Open Source Applied Reinforcement Learning Platform
https://openreview.net/forum?id=SylQKinLi4
4. Park: An Open Platform for Learning Augmented Computer Systems
https://openreview.net/forum?id=BkgfRbEPsE
https://t.iss.one/ArtificialIntelligenceArticles
openreview.net
Lyapunov-based Safe Policy Optimization for Continuous Control
We study continuous action reinforcement learning problems in which it is crucial that the agent
interacts with the environment only through safe policies, i.e., policies that do not take the agent...
interacts with the environment only through safe policies, i.e., policies that do not take the agent...
Best paper award at #CVPR2018 main idea: study twenty five different visual tasks to understand how & when transfer learning works from one task to another, reducing demand for labelled data.
Paper: arxiv.org/pdf/1804.08328
Data: taskonomy.stanford.edu https://t.iss.one/ArtificialIntelligenceArticles
Paper: arxiv.org/pdf/1804.08328
Data: taskonomy.stanford.edu https://t.iss.one/ArtificialIntelligenceArticles
Telegram
ArtificialIntelligenceArticles
for who have a passion for -
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
#CVPR2019 Videos :Videos from #CVPR2019 talks are gradually uploaded on YouTube .if you missed #CVPR2019 here is the treasure trove of videos thanks to the ComputerVisionFoundation
https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/videos
https://t.iss.one/ArtificialIntelligenceArticles
https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/videos
https://t.iss.one/ArtificialIntelligenceArticles
YouTube
ComputerVisionFoundation Videos
Videos for the various CVF co-spnsored conferences on computer vision, e.g. CVPR and ICCV, with per-conference playlists.
Here is a wonderful Self Supervised Learning 122 page lecture notebook by Andrew Zisserman from Deepmind
Download Link: https://project.inria.fr/paiss/files/2018/07/zisserman-self-supervised.pdf
Download Link: https://project.inria.fr/paiss/files/2018/07/zisserman-self-supervised.pdf
Cool paper written by Yoshua Bengio’s MILA team.
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Paper: arxiv.org/abs/1905.10437
GitHub for M4 dataset: https://github.com/M4Competition/M4-methods/tree/master/Dataset
#timeseries #deeplearning
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Paper: arxiv.org/abs/1905.10437
GitHub for M4 dataset: https://github.com/M4Competition/M4-methods/tree/master/Dataset
#timeseries #deeplearning
arXiv.org
N-BEATS: Neural basis expansion analysis for interpretable time...
We focus on solving the univariate times series point forecasting problem using deep learning. We propose a deep neural architecture based on backward and forward residual links and a very deep...
Divide and Conquer the Embedding Space for Metric Learning, CVPR 2019
code https://github.com/CompVis/metric-learning-divide-and-conquer
code https://github.com/CompVis/metric-learning-divide-and-conquer
GitHub
GitHub - CompVis/metric-learning-divide-and-conquer: Source code for the paper "Divide and Conquer the Embedding Space for Metric…
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019 - CompVis/metric-learning-divide-and-conquer
Beyond data and model parallelism for deep neural networks
https://blog.acolyer.org/2019/06/12/beyond-data-and-model-parallelism/
https://blog.acolyer.org/2019/06/12/beyond-data-and-model-parallelism/
the morning paper
Beyond data and model parallelism for deep neural networks
Beyond data and model parallelism for deep neural networks Jia et al., SysML’2019 I’m guessing the authors of this paper were spared some of the XML excesses of the late nineties and early no…
Research suggests that fatherhood could increase oxytocin (a hormone associated with social bonding) and decrease testosterone (a hormone associated with aggression) as it develops neurons and alters activity in the brain.
https://m.washingtontimes.com/news/2019/jun/15/fatherhood-changes-mens-brains-and-minds-studies-s/
https://m.washingtontimes.com/news/2019/jun/15/fatherhood-changes-mens-brains-and-minds-studies-s/
The Washington Times
Fatherhood changes men’s brains and minds, studies show
You've heard of dad bod. But what about dad brain? Studies show that becoming a father changes men's brains in ways that help them tackle the complex tasks of being a parent, leading neuroscientists s
Contrastive Multiview Coding
Tian et al.: https://arxiv.org/abs/1906.05849
Code: https://github.com/HobbitLong/CMC/
#artificialintelligence #deeplearning #selfsupervisedlearning
Tian et al.: https://arxiv.org/abs/1906.05849
Code: https://github.com/HobbitLong/CMC/
#artificialintelligence #deeplearning #selfsupervisedlearning
arXiv.org
Contrastive Multiview Coding
Humans view the world through many sensory channels, e.g., the long-wavelength light channel, viewed by the left eye, or the high-frequency vibrations channel, heard by the right ear. Each view is...
Best paper ICML 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Locatello et al.: https://arxiv.org/pdf/1811.12359.pdf
#deeplearning #disentangledrepresentations #unsupervisedlearning
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Locatello et al.: https://arxiv.org/pdf/1811.12359.pdf
#deeplearning #disentangledrepresentations #unsupervisedlearning
TOP 10 BOOKS ON ARTIFICIAL INTELLIGENCE
https://www.analyticsinsight.net/top-10-books-on-artificial-intelligence-you-cannot-afford-to-miss/
https://www.analyticsinsight.net/top-10-books-on-artificial-intelligence-you-cannot-afford-to-miss/
Analytics Insight
Top 10 Books on Artificial Intelligence You Cannot Afford to Miss | Analytics Insight
Artificial Intelligence is the need of the hour. So how do you benefit from AI and the latest advancements that move around it? Here are the Top 10 Books on Artificial Intelligence and Machine Learning you cannot afford to miss to stay in vogue about the…
Jacobian Policy Optimizations. arxiv.org/abs/1906.05437
tf.keras for Researchers: Crash Course
"That's all you need to get started with reimplementing most deep learning research papers in TensorFlow 2.0 and Keras!"
Code by François Chollet: https://colab.research.google.com/drive/14CvUNTaX1OFHDfaKaaZzrBsvMfhCOHIR
#deeplearning #keras #tensorflow #tutorial
"That's all you need to get started with reimplementing most deep learning research papers in TensorFlow 2.0 and Keras!"
Code by François Chollet: https://colab.research.google.com/drive/14CvUNTaX1OFHDfaKaaZzrBsvMfhCOHIR
#deeplearning #keras #tensorflow #tutorial
Congrats to legendary scientists Yoshua Bengio, Yann LeCun and Geoffrey Hinton for receiving Turing Award today at ceremony hosted by ACM.Google Senior Fellow Jeff Dean is handing over this prestigious award to these legends. ACM - Association for Computing Machinery Facebook AI Google AI Google Universite De Montreal - Campus Laval