Deep Paper Gestalt

"Experimental results show that our classifier can safely reject 50% of the bad papers while wrongly reject only 0.4% of the good papers, and thus dramatically reduce the workload of the reviewers."

GitHub: https://lnkd.in/epwDePX

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Best of arXiv.org for AI, Machine Learning, and Deep Learning

🔸 November 2018

🔸 November 2017

🔸 July 2018

🔸 April 2018

🔸 June 2018

🔸 September 2018

🔸 October 2018

🔸 August 2018

#DeepLearning #machinelearning #AI #Artificialinteligence #مقاله

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DATASET DISTILLATION

Anonymous authors: https://lnkd.in/ekqYXTs

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The Best #FREE Books for Learning #DataScience

Link => bit.ly/AIFreeBooks

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WHAT IS USE CASES DATA SCIENCE IN HR?

Data science is not only intended for those who want to become data scientists. Data Science is a science that can be applied to HR as well. Here are some reasons why a recruiter also needs to learn data science:

1. Strategic recruitment by learning data science
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2. Future recruitment processes are in AI
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3. Data Science selection process
https://lnkd.in/fiCRwPW
4. You can become a Recruitment Specialist in data science.
https://lnkd.in/fNGvtpG
5. You can design a dashboard that is ideal for the recruitment process.
https://lnkd.in/fghidHC
6. Insight on learning data science
https://lnkd.in/g5n3bRn
7. Predicting Employe Turover
https://lnkd.in/fkMu3A6
8. AI for Candidate Selection
https://lnkd.in/f7Kf3Mf
9. Increasing Employee Happiness
https://lnkd.in/fTzNbsC
10. Predicting Performance
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#datascience #humanresource #artificialinteligence #analytics

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MIT : Intro to Deep Learning
‏
First two 2019 lectures for MIT Intro to #DeepLearning now online!

Course schedule: https://lnkd.in/eDW7FTs
Lecture 1: https://lnkd.in/esDcMaP
Lecture 2: https://lnkd.in/epzKtXM

#artificialinteligence #machineleaning #neuralnetworks

✴️ @AI_Python_EN
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🗣 @AI_Python_arXiv

neuralRank: Searching and ranking ANN-based model repositories

Paper: https://lnkd.in/edxKPBH
#artificialinteligence #research #machineleaning #neuralnetworks

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Real-Time AR Self-Expression with Machine Learning #DataScience #MachineLearning #ArtificialInteligence http://bit.ly/2tYa7Lh

✴️ @AI_Python_EN

Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation
Researchers: Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot Fishman, Alan Yuille
Paper: http://ow.ly/IdmR50qiURd
#technology #artificialinteligence #machineleaning #bigdata #machinelearning #deeplearning

✴️ @AI_Python_EN

Weakly Supervised Gaussian Networks for Action Detection
Researchers: Basura Fernando, Cheston Tan Yin Chet, Hakan Bilen
Paper: http://ow.ly/NC0S50qAP7S

#artificialinteligence #machineleaning #bigdata #machinelearning #deeplearning

✴️ @AI_Python_EN

LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds

Paper: http://ow.ly/ga4c50rqgsN

#artificialinteligence #machineleaning #bigdata #machinelearning #deeplearning #technology

✴️ @AI_Python_EN

Interpretable and Generalizable Deep Image Matching with Adaptive Convolutions
Researchers: Shengcai Liao, Ling Shao

Paper: http://ow.ly/5z8j50rqdiJ

#artificialinteligence #machineleaning #bigdata #machinelearning #deeplearning

✴️ @AI_Python_EN

"Training Neural Nets on Larger Batches: Practical Tips for 1-GPU, Multi-GPU & Distributed setups"

By Thomas Wolf: https://lnkd.in/etyMzjQ

#ArtificialInteligence #DeepLearning #MachineLearning #NeuralNetworks #Research

✴️ @AI_Python_EN

**** USE CASES OF DATA SCIENCE IN HR ****

Data science is not only intended for those who want to become data scientists. Data Science is a science that can be applied to HR as well. Here are some reasons why a recruiter also needs to learn data science:

1. Strategic recruitment by learning data science
https://lnkd.in/f3S8zvA

2. Future recruitment processes are in AI
https://lnkd.in/fqvemej

3. Data Science selection process
https://lnkd.in/fiCRwPW

4. You can become a Recruitment Specialist in data science.
https://lnkd.in/fNGvtpG

5. You can design a dashboard that is ideal for the recruitment process.
https://lnkd.in/fghidHC

6. Insight on learning data science
https://lnkd.in/g5n3bRn

7. Predicting Employe Turnover
https://lnkd.in/fkMu3A6

8. AI for Candidate Selection
https://lnkd.in/f7Kf3Mf

9. Increasing Employee Happiness
https://lnkd.in/fTzNbsC

10. Predicting Performance
https://lnkd.in/fdCmR-B

#datascience #artificialinteligence #analytics

✴️ @AI_Python_EN

Avoiding Backtesting Overfitting by Covariance-Penalties: an empirical investigation of the ordinary and total least squares cases
Researchers: Adriano Koshiyama, Nick Firoozye
Paper: https://lnkd.in/fWtth8W
#artificialinteligence
#machineleaning #bigdata #machinelearning #deeplearning

✴️ @AI_Python_EN

Use of Artificial Intelligence Techniques / Applications in Cyber Defense
Researcher: Ensar Şeker
Paper: http://ow.ly/eqe450uukBx
#artificialinteligence #machineleaning #bigdata #machinelearning #deeplearning

✴️ @AI_Python_EN

Learning Compositional Neural Programs with Recursive Tree Search and Planning

Paper: http://ow.ly/dEaX50uukqv

#artificialinteligence #machineleaning #bigdata #machinelearning #deeplearning

✴️ @AI_Python_EN

3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework using Fully 3D Convolutional Neural Networks
Researchers: Gary Storey, Richard Jiang, Shelagh Keogh, Ahmed Bouridane, Chang-Tsun Li
Paper: http://ow.ly/9aMK50uuW68
#artificialinteligence #machineleaning #bigdata #machinelearning #deeplearning

✴️ @AI_Python_EN

Sketch2code: Generating a website from a paper mockup
Researcher: Alex Robinson
Paper: http://ow.ly/zXHK50uuW3g
#artificialinteligence #machineleaning #bigdata #machinelearning #deeplearning
✴️ @AI_Python_EN

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks

Paper: http://ow.ly/Nk6Y50uAmII
#artificialinteligence #ai #ml #machinelearning #bigdata #deeplearning #technology

✴️ @AI_Python_EN