List of 200+ Data Science Blogs https://www.cybrhome.com/topic/data-science-blogs
new course :
3 days until you can take Course 3 of the TensorFlow Specialization! Andrew ng and Laurence discuss what it takes to process text, one of the foundational skills for building NLP applications.
Enroll in Course 1 and 2 if you haven't already:
https://www.coursera.org/collections/tensorflow-deeplearning-ai
https://t.iss.one/ArtificialIntelligenceArticles
deeplearning.ai
3 days until you can take Course 3 of the TensorFlow Specialization! Andrew ng and Laurence discuss what it takes to process text, one of the foundational skills for building NLP applications.
Enroll in Course 1 and 2 if you haven't already:
https://www.coursera.org/collections/tensorflow-deeplearning-ai
https://t.iss.one/ArtificialIntelligenceArticles
deeplearning.ai
Coursera
TensorFlow Specialization by deeplearning.ai | Coursera
If you are a software developer who wants to build ...
Reweighted Expectation Maximization
Adji B. Dieng and John Paisley: https://arxiv.org/abs/1906.05850
Code: https://github.com/adjidieng/REM
#ArtificialIntelligence #MachineLearning #VariationalAutoEncoders #VAEs
Adji B. Dieng and John Paisley: https://arxiv.org/abs/1906.05850
Code: https://github.com/adjidieng/REM
#ArtificialIntelligence #MachineLearning #VariationalAutoEncoders #VAEs
Turing's Neural Networks of 1948
By Jack Copeland and Diane Proudfoot
https://www.alanturing.net/turing_archive/pages/Reference%20Articles/connectionism/Turing's%20neural%20networks.html?fbclid=IwAR0B5k0lmUY2JNwV0aMgMvTkmb-lFlW7j4R8RID632rvkhGEdSYB3Vd_uv4
By Jack Copeland and Diane Proudfoot
https://www.alanturing.net/turing_archive/pages/Reference%20Articles/connectionism/Turing's%20neural%20networks.html?fbclid=IwAR0B5k0lmUY2JNwV0aMgMvTkmb-lFlW7j4R8RID632rvkhGEdSYB3Vd_uv4
Contrastive Multiview Coding
Unsupervised representation learned to maximize MI measure between different views results in SoTA for downstream tasks such as object classification
code https://github.com/HobbitLong/CMC/
paper https://arxiv.org/pdf/1906.05849.pdf
Unsupervised representation learned to maximize MI measure between different views results in SoTA for downstream tasks such as object classification
code https://github.com/HobbitLong/CMC/
paper https://arxiv.org/pdf/1906.05849.pdf
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
Topology-Preserving Deep Image Segmentation. arxiv.org/abs/1906.05404
“CVPR 2019 | Waymo Introduces Open Dataset to Accelerate Autonomous Driving Research”
https://medium.com/syncedreview/cvpr-2019-waymo-introduces-open-dataset-to-accelerate-autonomous-driving-research-38d9dcde032c
https://medium.com/syncedreview/cvpr-2019-waymo-introduces-open-dataset-to-accelerate-autonomous-driving-research-38d9dcde032c
Medium
CVPR 2019 | Waymo Introduces Open Dataset to Accelerate Autonomous Driving Research
Established in 2009, Alphabet’s autonomous driving unit Waymo has always been relatively protective of its technology and data. Yesterday…
Create custom gym environments from scratch — A stock market example
By Adam King: https://towardsdatascience.com/creating-a-custom-openai-gym-environment-for-stock-trading-be532be3910e
#artificialintelligence #stockmarket #trading #reinforcementlearning
By Adam King: https://towardsdatascience.com/creating-a-custom-openai-gym-environment-for-stock-trading-be532be3910e
#artificialintelligence #stockmarket #trading #reinforcementlearning
Medium
Create custom gym environments from scratch — A stock market example
OpenAI’s gym is an awesome package that allows you to create custom reinforcement learning agents. It comes with quite a few pre-built…
Speech Model Pre-training for End-to-End Spoken Language Understanding
Lugosch et al.: https://arxiv.org/abs/1904.03670
#spokenlanguageunderstanding #machinelearning #technology
Lugosch et al.: https://arxiv.org/abs/1904.03670
#spokenlanguageunderstanding #machinelearning #technology
Must watch! [https://www.youtube.com/watch?v=g6HiuEnbwJE]
YouTube
ICML 2019 Tutorial: Recent Advances in Population-Based Search for Deep Neural Networks
Recent Advances in Population-Based Search for Deep Neural Networks: Quality Diversity, Indirect Encodings, and Open-Ended Algorithms.
Jeff Clune · Joel Lehman · Kenneth Stanley
We will cover new, exciting, unconventional techniques for improving population…
Jeff Clune · Joel Lehman · Kenneth Stanley
We will cover new, exciting, unconventional techniques for improving population…
Presented at CVPR 2019:
Facebook researchers use AI to generate recipes from food images
(They evaluate the whole system on the large-scale Recipe1M dataset)
https://www.profillic.com/paper/arxiv:1812.06164
Facebook researchers use AI to generate recipes from food images
(They evaluate the whole system on the large-scale Recipe1M dataset)
https://www.profillic.com/paper/arxiv:1812.06164
Profillic
Profillic: AI research & source code to supercharge your projects
Explore state-of-the-art in machine learning, AI, and robotics research. Browse papers, source code, models, and more by topics and authors. Connect with researchers and engineers working on related problems in machine learning, deep learning, natural language…
Using AI to generate recipes from food images
Facebook developed image 2 recipe architecture.
Paper: https://research.fb.com/publications/inverse-cooking-recipe-generation-from-food-images/
Code: https://github.com/facebookresearch/inversecooking
Link: https://ai.facebook.com/blog/inverse-cooking/
#CV #DL
Facebook developed image 2 recipe architecture.
Paper: https://research.fb.com/publications/inverse-cooking-recipe-generation-from-food-images/
Code: https://github.com/facebookresearch/inversecooking
Link: https://ai.facebook.com/blog/inverse-cooking/
#CV #DL
Meta Research
Inverse Cooking: Recipe Generation from Food Images - Meta Research
People enjoy food photography because they appreciate food. Behind each meal there is a story described in a complex recipe and, unfortunately, by simply looking at a food image we do not have access to its preparation process. Therefore, in this paper we…
AlphaStar: Mastering the Game of StarCraft II
Talk by David Silver: https://slideslive.com/38916905/alphastar-mastering-the-game-of-starcraft-ii
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
Talk by David Silver: https://slideslive.com/38916905/alphastar-mastering-the-game-of-starcraft-ii
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
SlidesLive
David Silver | AlphaStar: Mastering the Game of StarCraft II
The Challenge of Open Source MT
https://www.cms-connected.com/News-Archive/June-2019/The-Challenge-of-Open-Source-Machine-Translation#.XQjjqDevkh4.twitter
https://www.cms-connected.com/News-Archive/June-2019/The-Challenge-of-Open-Source-Machine-Translation#.XQjjqDevkh4.twitter
CMSC
The Challenge of Open Source Machine Translation
MT is considered one of the most difficult problems in the general Artificial Intelligence (AI) and machine learning field.@
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Stand-Alone Self-Attention in Vision Models
Ramachandran et al.: https://arxiv.org/abs/1906.05909
#ArtificialIntelligence #DeepLearning #MachineLearning
Ramachandran et al.: https://arxiv.org/abs/1906.05909
#ArtificialIntelligence #DeepLearning #MachineLearning