Can Unconditional Language Models Recover Arbitrary Sentences?
Subramani et al.: https://arxiv.org/abs/1907.04944
#ArtificialIntelligence #LanguageModels #MachineLearning

Natural Adversarial Examples

Hendrycks et al.: https://arxiv.org/abs/1907.07174) arxiv.org/abs/1907.07174

Dataset and code: https://github.com/hendrycks/natural-adv-examples

#MachineLearning #ComputerVision #PatternRecognition

Job Opening for Machine Learning Engineer in Bangladesh!!

Vacancy: 4 or more.
Salary: 40,000 BDT to 80,000 BDT
Employment Status: Full time.
Job Location: Dhaka Division, Bangladesh

(Joining date for selected candidates will be around November, 2019)

Job position: Machine Learning Engineer

Job Responsibilities:
1. Directing clients to a solution with Machine learning
2. Research on state of the art architecture or new model
3. Data analysis and visualization

Educational Requirements:
○ Bachelor of Science (BSc) in Computer Science or Applied Mathematics.
○ (Master’s/PhD with research experience in machine learning field is highly appreciable.)

Skill & Experience Requirements:
○ Practical knowledge of AI techniques such as machine learning, deep learning, optimization algorithms.
○ Experience of using machine learning framework such as TensorFlow, Keras, PyTorch, Chainer, etc.
○ Fluency in Python, R or C ++.
○ Sound knowledge of Linear Algebra, basic of Statistics, Data Structure, basic Computer Science Algorithms.
○ Basic Computer Science knowledge, e.g. operating system, computer architecture, networking, etc.
○ Software development experience in projects and teams.
○ Development experience using version control system by Git et al., AWS or GCP, Docker.

Compensation and Other Benefits
○ Performance bonus
○ Weekly 2 holidays
○ Festival Bonus: 2
○ Lunch Facilities
○ Salary Review: Yearly

Application Deadline: 21 July, 2019

How to apply:
Please find further details and apply from the following link: https://www.chowagiken.co.jp/job/

Note: Chowa Giken Company Seminar will be held in 19th July, 2019
from 11:00-12:00 BDT (1H) at BJIT LTD 6 floor seminar room.
If you are interested to apply for our position, we would be appreciated your participation

NIPS 2017 Invited talk

"Deep Reinforcement Learning with Subgoals"

By David Silver: https://vimeo.com/249557775

#ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #ReinforcementLearning

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

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

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

Deep Learning to Assess Long-term Mortality From Chest Radiographs

https://jamanetwork.com/journals/jamanetworkopen/article-abstract/2738349

12 challenges of AI adoption

https://neoteric.eu/blog/12-challenges-of-ai-adoption/

Generative Deep Learning book
https://shop.oreilly.com/product/0636920189817.do

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

Self-supervised Learning for Video Correspondence Flow

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

"Variational Autoencoders and Nonlinear ICA: A Unifying Framework"
Khemakhem et al.: https://arxiv.org/abs/1907.04809
#MachineLearning #GenerativeModels #VariationalAutoencoders

Generating YouTube Titles Using Image Captioning
https://darshancrout.ai/post/generating-youtube-titles-using-image-captioning/

Machine Learning and Data Science Applications in Industry
https://github.com/firmai/industry-machine-learning

Photos from Crude Sketches: NVIDIA's GauGAN Explained Visually
https://adamdking.com/blog/gaugan/

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

"Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges"

Arivazhagan et al.: https://arxiv.org/abs/1907.05019

#ArtificialIntelligence #DeepLearning #MachineLearning