Deep Learning State of the Art (2020) | MIT Deep Learning Series

https://www.youtube.com/watch?v=0VH1Lim8gL8

PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paszke et al.: https://arxiv.org/abs/1912.01703
#ArtificialIntelligence #DeepLearning #PyTorch

On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier, Andreas Loukas, Martin Jaggi: https://openreview.net/forum?id=HJlnC1rKPB
#ArtificialIntelligence #DeepLearning #Transformers

𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲.
Very interesting and comprehensive 67-page article on the applications of AI in health and health care.
Download: https://www.healthit.gov/sites/default/files/jsr-17-task-002_aiforhealthandhealthcare12122017.pdf

Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
Hans Pinckaers, Geert Litjens : https://arxiv.org/abs/1910.10470
GitHub : https://github.com/DIAGNijmegen/neural-odes-segmentation
#MedNeurIPS #NeurIPS #NeurIPS2019

"Linear Algebra"
Instructor : Prof. Gilbert Strang
MIT OpenCourseWare : https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/
#LinearAlgebra #MatrixTheory

Machine Learning from scratch!
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library, by Quan Tran: https://github.com/anhquan0412/basic_model_scratch
#ArtificialIntelligence #DeepLearning #NeuralNetworks #MachineLearning

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

Blake Richards: Deep Learning with Ensembles of Neocortical Microcircuits


An inspiring talk by Blake Richards at the ICLR2018 emphasizing the interaction between neuroscience and machine learning. This intersection is where great things happen.

https://goo.gl/1YCjrm


https://t.iss.one/ArtificialIntelligenceArticles

Artificial Intelligence & #Neuroscience: A Virtuous Circle https://deepmind.com/blog/ai-and-neuroscience-virtuous-circle/

Machine Learning Unlocks Library of The Human Brain. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #NeuroScience


https://thetartan.org/2019/11/11/scitech/brain-thoughts

"The best way to understand the mind is to built it." Full lecture

https://youtu.be/0VH1Lim8gL8

"Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm"
Chelsea Finn and Sergey Levine : https://arxiv.org/abs/1710.11622
#MachineLearning #ArtificialIntelligence #MetaLearning #NeuralComputing

PyTorch Geometry
The PyTorch Geometry package is a geometric computer vision library for PyTorch
By Arraiy: https://github.com/arraiy/torchgeometry
#ArtificialIntelligence #ComputerVision #DeepLearning #MachineLearning #PyTorch

Poly-time universality and limitations of deep learning
Emmanuel Abbe, Colin Sandon : https://arxiv.org/abs/2001.02992
#ArtificialIntelligence #MachineLearning #InformationTheory

State of the art- Photoshop faces with hand sketches!

[https://www.profillic.com/paper/arxiv:2001.02890

(The researchers propose Deep Plastic Surgery, a novel sketch-based image editing framework to achieve both robustness on hand-drawn sketch inputs and the controllability on sketch faithfulness](https://www.profillic.com/paper/arxiv:2001.02890))

Immediate brain plasticity after one hour of brain–computer interface (BCI)
https://physoc.onlinelibrary.wiley.com/doi/10.1113/JP278118

THE AMALGAMATION OF DATA SCIENCE AND NEUROSCIENCE
https://www.analyticsinsight.net/the-amalgamation-of-data-science-and-neuroscience/

Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. https://arxiv.org/abs/2001.02799

Lifted Hybrid Variational Inference. https://arxiv.org/abs/2001.02773

Named-Entity-Recognition-NER-Papers
By Pengfei Liu, Jinlan Fu and other contributors: https://github.com/pfliu-nlp/Named-Entity-Recognition-NER-Papers
An elaborate and exhaustive paper list for Named Entity Recognition (NER), covering papers from seven top conferences (ACL / EMNLP / NAACL / Coling / ICLR / AAAI / IJCAI) and eight years (2013-2020).
#ArtificialIntelligence #DeepLearning #MachineLearning