👁Computer Vision: Image Classification

https://www.adhiraiyan.org/deeplearning/computer-vision-image-classification

Yann Lecun : Ho parlato al quotidiano italiano La Stampa delle sfide che l'Intelligenza Artificiale sta affrontando oggi, dalle fake news ai contenuti inappropriati e di come insegnamo ai nostri sistemi a riconoscerli perchè possano intervenire e tutelarci.
Questa è senza dubbio una grande sfida ma ho fiducia nel futuro e negli sforzi che stiamo facendo per avvicinarci.

This is how I discussed with the italian daily La Stampa the key challenges AI is facing today, from fake news to inappropriate or extremist content, and how we teach our systems to understand those forms so that they can take an action to protect us.
It's a very challenging problem but I trust we'll get there, one day.

https://www.lastampa.it/2019/05/22/scienza/che-cosa-insegno-allia-yJ1jgYV5SH6nTbTOmfmmAN/

Good to watch
https://www.youtube.com/watch?v=Ioqrw4sCcwQ

Epileptic Seizure Classification ML Algorithms
https://towardsdatascience.com/seizure-classification-d0bb92d19962

Keras: Feature extraction on large datasets with Deep Learning
https://www.pyimagesearch.com/2019/05/27/keras-feature-extraction-on-large-datasets-with-deep-learning/

A curated list of gradient boosting research papers with implementations.

https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers

Week 2 CS294-158 Deep Unsupervised Learning (2/6/19)

#UCBerkeley #deeplearning #computervision

https://m.youtube.com/watch?v=mYCLVPRy2nc&feature=share

ML algorithms and their math -
1. Naive Bayes - https://goo.gl/m3gh1o
2. Decision Trees (ID3) - https://goo.gl/HFqAd4
3. Random Forest - https://goo.gl/y3Au8M
4. K-means - https://goo.gl/worGWg
5. Ridge Regression - https://goo.gl/YGdUFr
6. Logistic Regression - https://goo.gl/zDvRcF

https://www.thelearningmachine.ai/ml

AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune: https://arxiv.org/abs/1905.10985
#ArtificialIntelligence #ArtificialGeneralIntelligence #AGI

Understanding Hinton’s Capsule Networks. Part I: Intuition.
Blog by Max Pechyonkin: https://medium.com/ai³-theory-practice-business/understanding-hintons-capsule-networks-part-i-intuition-b4b559d1159b
#MachineLearning #DeepLearning #GeoffreyHinton #ArtificialIntelligence #Theory

"End-to-End Deep Reinforcement Learning without Reward Engineering"
They developed an end-to-end method that allows robots to learn from a modest number of images that depict successful completion of a task.

https://bair.berkeley.edu/blog/2019/05/28/end-to-end/

"Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor"
Do word embeddings really say that man is to doctor as woman is to nurse? Apparently not!
Nissim et al.: https://arxiv.org/abs/1905.09866
#ArtificialIntelligence #MachineLearning #NLProc #bias

How to deliver on Machine Learning projects
A guide to the ML Engineering Loop.
By Emmanuel Ameisen and Adam Coates: https://blog.insightdatascience.com/how-to-deliver-on-machine-learning-projects-c8d82ce642b0
#ArtificialIntelligence #BigData #DataScience #DeepLearning #MachineLearning

Open-ended learning in symmetric zero-sum games
Balduzzi et al.: http://proceedings.mlr.press/v97/balduzzi19a.html
#ArtificialIntelligence #MachineLearning #Nash #GameTheory

Utterance-level Aggregation for Speaker Recognition in the Wild
Project page http://www.robots.ox.ac.uk/~vgg/research/speakerID/
paper https://arxiv.org/pdf/1902.10107.pdf

Convex Optimization: Algorithms and Complexity
Sébastien Bubeck

Theory Group, Microsoft Research
sebubeck@microsoft.com
https://arxiv.org/pdf/1405.4980.pdf

A new paper on learned lossless compression: 30% smaller images than PNG, using a fully parallel probabilistic model that is orders of magnitude faster than PixelCNN
PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"
https://github.com/fab-jul/L3C-PyTorch

Very interesting paper from Google Research. Generating video from first and end frames
https://arxiv.org/pdf/1905.10240.pdf

Classification Accuracy Score for Conditional Generative Models
Suman Ravuri and Oriol Vinyals: https://arxiv.org/abs/1905.10887
#ArtificialIntelligence #DeepLearning #MachineLearning