NIPS 2017 Invited talk
"Deep Reinforcement Learning with Subgoals"
By David Silver: https://vimeo.com/249557775
#ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #ReinforcementLearning
"Deep Reinforcement Learning with Subgoals"
By David Silver: https://vimeo.com/249557775
#ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #ReinforcementLearning
Vimeo
Invited talk:Deep Reinforcement Learning with Subgoals(David Silver)
If you're curious how hair recoloring worked on FaceApp, this might give you a hint! (CVPR 2019)
https://www.profillic.com/paper/arxiv:1907.06740
https://www.profillic.com/paper/arxiv:1907.06740
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…
Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python, R Programming Resources.
Full List: https://www.marktechpost.com/free-resources/
📷CS109 Data Science- Harvard
📷Data Science Essentials- Microsoft
📷Learning from Data – California Institute of Technology
📷The Mathematics of Machine Learning by UC Berkeley
📷"Foundations of Data Science" Book by Avrim Blum, John Hopcroft, and Ravindran Kannan
📷Python Data Science Handbook by Jake VanderPlas
Full List: https://www.marktechpost.com/free-resources/
📷CS109 Data Science- Harvard
📷Data Science Essentials- Microsoft
📷Learning from Data – California Institute of Technology
📷The Mathematics of Machine Learning by UC Berkeley
📷"Foundations of Data Science" Book by Avrim Blum, John Hopcroft, and Ravindran Kannan
📷Python Data Science Handbook by Jake VanderPlas
Best Paper Awards in Computer Science (since 1996)
Conferences: AAAI ACL CHI CIKM CVPR FOCS FSE ICCV ICML ICSE IJCAI INFOCOM KDD MOBICOM NSDI OSDI PLDI PODS S&P SIGCOMM SIGIR SIGMETRICS SIGMOD SODA SOSP STOC UIST VLDB WWW
By Jeff Huang : https://jeffhuang.com/best_paper_awards.html
#artificialintelligence #computerscience #machinelearning
Conferences: AAAI ACL CHI CIKM CVPR FOCS FSE ICCV ICML ICSE IJCAI INFOCOM KDD MOBICOM NSDI OSDI PLDI PODS S&P SIGCOMM SIGIR SIGMETRICS SIGMOD SODA SOSP STOC UIST VLDB WWW
By Jeff Huang : https://jeffhuang.com/best_paper_awards.html
#artificialintelligence #computerscience #machinelearning
Deep Learning to Assess Long-term Mortality From Chest Radiographs
https://jamanetwork.com/journals/jamanetworkopen/article-abstract/2738349
https://jamanetwork.com/journals/jamanetworkopen/article-abstract/2738349
Generative Deep Learning book
https://shop.oreilly.com/product/0636920189817.do
https://shop.oreilly.com/product/0636920189817.do
https://www.microsoft.com/en-us/research/academic-program/phd-fellowship/
https://www.microsoft.com/en-us/research/academic-program/ada-lovelace-fellowship
https://www.microsoft.com/en-us/research/academic-program/ada-lovelace-fellowship
Microsoft Research
Microsoft Research PhD Fellowship - Microsoft Research
The Microsoft Research PhD Fellowship is a global program that identifies and empowers the next generation of exceptional computing research talent.
Great lecture by Prof Geoffrey Hinton at the Royal Society of Edinburgh 2019
video : https://www.youtube.com/watch?v=vQ5XR0pFV10 https://t.iss.one/ArtificialIntelligenceArticles
video : https://www.youtube.com/watch?v=vQ5XR0pFV10 https://t.iss.one/ArtificialIntelligenceArticles
Self-supervised Learning for Video Correspondence Flow
Zihang Lai and Weidi Xie: https://zlai0.github.io/CorrFlow/
#MachineLearning #SelfSupervisedLearning #UnsupervisedLearning
Zihang Lai and Weidi Xie: https://zlai0.github.io/CorrFlow/
#MachineLearning #SelfSupervisedLearning #UnsupervisedLearning
A #GauGAN timelapse video as a demo for landscape generation
Link: https://www.nvidia.com/en-us/research/ai-playground/
#GAN #Video #Nvidia
Link: https://www.nvidia.com/en-us/research/ai-playground/
#GAN #Video #Nvidia
NVIDIA
The AI Playground from NVIDIA: Experience AI in Action
Interact with AI research demos in real-time, be inspired by the AI Art Gallery, and learn more about AI extensions in Omniverse.
"Variational Autoencoders and Nonlinear ICA: A Unifying Framework"
Khemakhem et al.: https://arxiv.org/abs/1907.04809
#MachineLearning #GenerativeModels #VariationalAutoencoders
Khemakhem et al.: https://arxiv.org/abs/1907.04809
#MachineLearning #GenerativeModels #VariationalAutoencoders
arXiv.org
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
The framework of variational autoencoders allows us to efficiently learn deep latent-variable models, such that the model's marginal distribution over observed variables fits the data. Often,...
Generating YouTube Titles Using Image Captioning
https://darshancrout.ai/post/generating-youtube-titles-using-image-captioning/
https://darshancrout.ai/post/generating-youtube-titles-using-image-captioning/
Darshan Crout
Generating YouTube Titles Using Image Captioning | Darshan Crout
I watch a lot of YouTube. In fact, a lot of younger people watch more YouTube than they watch television. If you’re like me, YouTube is not only an endless source of entertainment, but it also serves as a source of knowledge and information. The platform…
Machine Learning and Data Science Applications in Industry
https://github.com/firmai/industry-machine-learning
https://github.com/firmai/industry-machine-learning
GitHub
GitHub - firmai/industry-machine-learning: A curated list of applied machine learning and data science notebooks and libraries…
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai) - firmai/industry-machine-learning
Photos from Crude Sketches: NVIDIA's GauGAN Explained Visually
https://adamdking.com/blog/gaugan/
https://adamdking.com/blog/gaugan/
Adamdking
Photos from Crude Sketches: NVIDIA's GauGAN Explained Visually
In this article I'll be explaining how GauGAN converts simple blobs of color into photorealistic paintings of landscapes.
Artbreeder
Ganbreeder is getting a lot of improvements and being renamed Artbreeder
Blog by Joel Simon: https://ganbreeder.app/announcements/artbreeder
#artificialintelligence #ganbreeder #artbreeder #generativedesign #machinelearning
Ganbreeder is getting a lot of improvements and being renamed Artbreeder
Blog by Joel Simon: https://ganbreeder.app/announcements/artbreeder
#artificialintelligence #ganbreeder #artbreeder #generativedesign #machinelearning
"Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges"
Arivazhagan et al.: https://arxiv.org/abs/1907.05019
#ArtificialIntelligence #DeepLearning #MachineLearning
Arivazhagan et al.: https://arxiv.org/abs/1907.05019
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
Massively Multilingual Neural Machine Translation in the Wild:...
We introduce our efforts towards building a universal neural machine translation (NMT) system capable of translating between any language pair. We set a milestone towards this goal by building a...
Neural Code Search: ML-based code search using natural language queries
https://ai.facebook.com/blog/neural-code-search-ml-based-code-search-using-natural-language-queries #DeepLearning #MachineLearning
#FacebookAI #DevC #MontrealAI
https://ai.facebook.com/blog/neural-code-search-ml-based-code-search-using-natural-language-queries #DeepLearning #MachineLearning
#FacebookAI #DevC #MontrealAI
Facebook
Neural Code Search: ML-based code search using natural language queries
We’ve developed an internal tool that applies natural language processing and information retrieval techniques directly to source code text, in order to produce an machine learning-based code search system.
Media, AI/Machine Learning Architect
We invite you to join Intel’s Next Generation & Standards (NGS) Group and the 5G revolution! We are a global team of passionate engineers and technologists from diverse industry backgrounds, working together to realize a world of connected computing.
Intel’s NGS team is chartered with developing advanced prototypes of various technologies to deliver innovative and state of the art wireless experiences into the market within the Internet of Things, 5G Next Generation Wearable and IoT solutions and other world-class wireless connectivity technologies and products
In this position, you will be working on advanced algorithm design, development and innovation towards the future emerging technologies in the Next Generation and Standards (NGS) group within Intel.
Roles and Responsibilities:
Research new technologies and analyze competition technologies to solve applied problems in various disciplines, including immersive media (e.g. 3DoF+, 6DoF, Point Cloud, AR and VR, etc.), Computer Vision, Data Analytics, AI/Machine learning
Design new algorithms, review professional literature and specify solution options for emerging technologies, e.g. immersive media, machine learning/AI, etc.
Research and development of new proprietary and standardization technical solutions for next-generation video technology (H.266/VVC, MPEG-I, H.265/HEVC, AV1, etc.)
Support Proof-of-Concept development of emerging technologies. Implement algorithm designs in software C/C++, Python, TensorFlow and Matlab
Software development and enhancement of MPEG reference software (HEVC/H.265, AV1, VVC, etc.) for proof-of-concept and standardization contributions
https://ai-jobs.net/job/media-ai-machine-learning-architect/
We invite you to join Intel’s Next Generation & Standards (NGS) Group and the 5G revolution! We are a global team of passionate engineers and technologists from diverse industry backgrounds, working together to realize a world of connected computing.
Intel’s NGS team is chartered with developing advanced prototypes of various technologies to deliver innovative and state of the art wireless experiences into the market within the Internet of Things, 5G Next Generation Wearable and IoT solutions and other world-class wireless connectivity technologies and products
In this position, you will be working on advanced algorithm design, development and innovation towards the future emerging technologies in the Next Generation and Standards (NGS) group within Intel.
Roles and Responsibilities:
Research new technologies and analyze competition technologies to solve applied problems in various disciplines, including immersive media (e.g. 3DoF+, 6DoF, Point Cloud, AR and VR, etc.), Computer Vision, Data Analytics, AI/Machine learning
Design new algorithms, review professional literature and specify solution options for emerging technologies, e.g. immersive media, machine learning/AI, etc.
Research and development of new proprietary and standardization technical solutions for next-generation video technology (H.266/VVC, MPEG-I, H.265/HEVC, AV1, etc.)
Support Proof-of-Concept development of emerging technologies. Implement algorithm designs in software C/C++, Python, TensorFlow and Matlab
Software development and enhancement of MPEG reference software (HEVC/H.265, AV1, VVC, etc.) for proof-of-concept and standardization contributions
https://ai-jobs.net/job/media-ai-machine-learning-architect/
ai-jobs.net
Media, AI/Machine Learning Architect | ai-jobs.net
Job Description We invite you to join Intel’s Next Generation & Standards (NGS) Group and the 5G revolution! We are a global team of passionate engineers and technologists from diverse industry backgrounds, working together to …
Initializing neural networks
"Initialization can have a significant impact on convergence in training deep neural networks."
By Katanforoosh & Kunin, "Initializing neural networks", deeplearning.ai, 2018: https://www.deeplearning.ai/ai-notes/initialization/
#artificialintelligence #deeplearning #neuralnetworks
"Initialization can have a significant impact on convergence in training deep neural networks."
By Katanforoosh & Kunin, "Initializing neural networks", deeplearning.ai, 2018: https://www.deeplearning.ai/ai-notes/initialization/
#artificialintelligence #deeplearning #neuralnetworks
deeplearning.ai
AI Notes: Initializing neural networks - deeplearning.ai
In this post, we'll explain how to initialize neural network parameters effectively. Initialization can have a significant impact on convergence in training deep neural networks...