MIDAS: Real-time Streaming Anomaly Detection in Dynamic Graphs (AI Paper Summary)
Paper: https://arxiv.org/abs/1911.04464
Github: https://github.com/Stream-AD/MIDAS
Presentation: https://www.youtube.com/watch?v=joPXrfZIJEM
Paper: https://arxiv.org/abs/1911.04464
Github: https://github.com/Stream-AD/MIDAS
Presentation: https://www.youtube.com/watch?v=joPXrfZIJEM
GitHub
GitHub - Stream-AD/MIDAS: Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions…
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz : https://arxiv.org/abs/2007.03898
#ArtificialIntelligence #DeepLearning #VariationalAutoencoder
Arash Vahdat, Jan Kautz : https://arxiv.org/abs/2007.03898
#ArtificialIntelligence #DeepLearning #VariationalAutoencoder
Full Stack Deep Learning
Tobin et al.: https://course.fullstackdeeplearning.com
#ArtificialIntelligence #DeepLearning #MachineLearning
Tobin et al.: https://course.fullstackdeeplearning.com
#ArtificialIntelligence #DeepLearning #MachineLearning
Fullstackdeeplearning
Full Stack Deep Learning | Full Stack Deep Learning
Full Stack Deep Learning helps you bridge the gap from training machine learning models to deploying AI systems in the real world.
ArtificialIntelligenceArticles
Photo
Online Lecture Series, Techfest, IIT Bombay is back with another highly inspiring leader, 𝗔𝗻𝗱𝗿𝗲𝘄 𝗡𝗴!
When it comes to rising fields like machine learning, artificial intelligence and computer vision, Andrew Yan-Tak Ng is one of the names you hear first.
Being the 𝗖𝗼-𝗙𝗼𝘂𝗻𝗱𝗲𝗿 𝗼𝗳 𝗖𝗼𝘂𝗿𝘀𝗲𝗿𝗮 and 𝗱𝗲𝗲𝗽𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴.𝗮𝗶 , he has taught millions of eager learners worldwide through his online courses. He is also the mastermind behind 𝗚𝗼𝗼𝗴𝗹𝗲 𝗕𝗿𝗮𝗶𝗻, a deep learning research team at Google which combines open-ended machine learning research with information systems and large-scale computing resources.
Professor of Computer Science and Electrical Engineering at 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆, he has undertaken several research projects related to data mining and machine learning. His work has earned him several awards and he has gifted the world of technology with hundreds of his published papers.
Watch Prof. Andrew Ng talk about his life journey and experience, and the future of AI and its impact on the society with 𝗣𝗿𝗼𝗳. 𝗣𝗿𝗲𝗲𝘁𝗵𝗶 𝗝𝘆𝗼𝘁𝗵𝗶, CSE Department, IIT Bombay as host on 𝗧𝗲𝗰𝗵𝗳𝗲𝘀𝘁’𝘀 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹 on 𝟭𝟭𝘁𝗵 𝗝𝘂𝗹𝘆 𝟮𝟬𝟮𝟬 at 𝟳 𝗣𝗠 𝗜𝗦𝗧.
.
Link for the session - https://youtu.be/IpuocVMUOR0
.
When it comes to rising fields like machine learning, artificial intelligence and computer vision, Andrew Yan-Tak Ng is one of the names you hear first.
Being the 𝗖𝗼-𝗙𝗼𝘂𝗻𝗱𝗲𝗿 𝗼𝗳 𝗖𝗼𝘂𝗿𝘀𝗲𝗿𝗮 and 𝗱𝗲𝗲𝗽𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴.𝗮𝗶 , he has taught millions of eager learners worldwide through his online courses. He is also the mastermind behind 𝗚𝗼𝗼𝗴𝗹𝗲 𝗕𝗿𝗮𝗶𝗻, a deep learning research team at Google which combines open-ended machine learning research with information systems and large-scale computing resources.
Professor of Computer Science and Electrical Engineering at 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆, he has undertaken several research projects related to data mining and machine learning. His work has earned him several awards and he has gifted the world of technology with hundreds of his published papers.
Watch Prof. Andrew Ng talk about his life journey and experience, and the future of AI and its impact on the society with 𝗣𝗿𝗼𝗳. 𝗣𝗿𝗲𝗲𝘁𝗵𝗶 𝗝𝘆𝗼𝘁𝗵𝗶, CSE Department, IIT Bombay as host on 𝗧𝗲𝗰𝗵𝗳𝗲𝘀𝘁’𝘀 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹 on 𝟭𝟭𝘁𝗵 𝗝𝘂𝗹𝘆 𝟮𝟬𝟮𝟬 at 𝟳 𝗣𝗠 𝗜𝗦𝗧.
.
Link for the session - https://youtu.be/IpuocVMUOR0
.
YouTube
Future of AI | Andrew Ng, Co-Founder of Coursera | Online Lecture Series | Techfest, IIT Bombay
Online Lecture Series, Techfest, IIT Bombay is back with another highly inspiring leader, Andrew Ng!
When it comes to rising fields like machine learning, artificial intelligence and computer vision, Andrew Yan-Tak Ng is one of the names you hear first.…
When it comes to rising fields like machine learning, artificial intelligence and computer vision, Andrew Yan-Tak Ng is one of the names you hear first.…
@ArtificialIntelligenceArticles
https://www.frontiersin.org/articles/10.3389/frai.2020.00030/full
@ArtificialIntelligenceArticles
https://www.frontiersin.org/articles/10.3389/frai.2020.00030/full
@ArtificialIntelligenceArticles
Frontiers
An Integrated World Modeling Theory (IWMT) of Consciousness: Combining Integrated Information and Global Neuronal Workspace Theories…
The Free Energy Principle and Active Inference Framework (FEP-AI) begins with the understanding that persisting systems must regulate environmental exchanges and prevent entropic accumulation. In FEP-AI, minds and brains are predictive controllers for autonomous…
papers CVPR 2020
[https://www.youtube.com/watch?v=T82LYbWr_oc](https://www.youtube.com/watch?v=T82LYbWr_oc)
[https://www.youtube.com/watch?v=T82LYbWr_oc](https://www.youtube.com/watch?v=T82LYbWr_oc)
YouTube
CVPR 2020 Paper Compilation - TUM Visual Computing Lab & Collaborators
Eight CVPR Papers from the TUM Visual Computing Lab & Collaborators:
Learning to Optimize Non-Rigid Tracking
https://niessnerlab.org/projects/li2020learning.html
Yang Li, Aljaž Božič, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nießner
3D-MPA: Multi…
Learning to Optimize Non-Rigid Tracking
https://niessnerlab.org/projects/li2020learning.html
Yang Li, Aljaž Božič, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nießner
3D-MPA: Multi…
ICML 2020- International Conference on Machine Learning
Oral Presentation Collection (Videos)
https://crossminds.ai/category/ICML%202020
Oral Presentation Collection (Videos)
https://crossminds.ai/category/ICML%202020
Crossminds
ICML 2020 - CrossMinds.ai
MIT researchers find ‘systematic’ shortcomings in ImageNet data set
https://venturebeat.com/2020/07/15/mit-researchers-find-systematic-shortcomings-in-imagenet-data-set/
@ArtificialIntelligenceArticles
https://venturebeat.com/2020/07/15/mit-researchers-find-systematic-shortcomings-in-imagenet-data-set/
@ArtificialIntelligenceArticles
VentureBeat
MIT researchers find ‘systematic’ shortcomings in ImageNet data set
MIT researchers say the influential ImageNet data set has "systematic annotation issues" when used as a benchmark for evaluating object recognition models.
join --- Deep Learning's legend - Prof Yoshua Bengio (https://en.wikipedia.org/wiki/Yoshua_Bengio) on 'Towards Deep Learning 2.0'.
The lecture details are:
Date: Wed, July 22, 2020
Time: 01:15 pm – 02:15 pm (UK time - GMT+1)
zoom link to webcast: https://us02web.zoom.us/j/85716233453
The lecture details are:
Date: Wed, July 22, 2020
Time: 01:15 pm – 02:15 pm (UK time - GMT+1)
zoom link to webcast: https://us02web.zoom.us/j/85716233453
“What’s the next big trend in programming? Maybe it’s sloppy programming” — Guy Steele on the Future of Programming Languages
https://medium.com/intuitionmachine/why-gpt-3-feels-like-programming-bf9d854c1d82
https://medium.com/intuitionmachine/why-gpt-3-feels-like-programming-bf9d854c1d82
Medium
Why GPT-3 feels like Programming
“What’s the next big trend in programming? Maybe it’s sloppy programming” — Guy Steele on the Future of Programming Languages
How To Trick DeepLearning Algorithms Into Doing New Things
The Black-Box Adversarial Reprogramming (BAR)
https://bdtechtalks.com/2020/07/20/black-box-adversarial-reprogramming/
The Black-Box Adversarial Reprogramming (BAR)
https://bdtechtalks.com/2020/07/20/black-box-adversarial-reprogramming/
TechTalks - Technology solving problems... and creating new ones
How to trick deep learning algorithms into doing new things - TechTalks
Black-box adversarial reprogramming can repurpose neural networks for new tasks without having full access to the deep learning model.