Automatic Recognition of Deceptive Facial Expressions of Emotion https://arxiv.org/abs/1707.04061 #AI #ML https://yangx.top/ArtificialIntelligenceArticles
Aesthetic-Driven Image Enhancement by Adversarial Learning https://arxiv.org/abs/1707.05251 Interesting GAN setups w/ more complex networks! #ML #AI
What! GAN without training a discriminator? Results are surprising! https://arxiv.org/abs/1707.05776 Optimizing Latent Space of Generative Nets #ML
Philips Jobs - Research Scientist (m/f) Machine Learning / Medical Systems & Solutions in Hamburg... http://bit.ly/2vuP3eN #ai #ml #dl
Clever Camera App Uses Deep Learning to Perfectly Retouch Your Photos Before You Take Them http://news.mit.edu/2017/automatic-image-retouching-phone-0802 #ai #ml #dl
مجموعه ای از مقالات جالب #یادگیری_ماشین اخیرا در Arxiv منتشر شده
Collection of interesting #ML papers recently out on Arxiv
1️⃣DeSIGN: Design Inspiration from Generative Networks:
http://goo.gl/8GxWne
2️⃣FLIPDIAL: A Generative Model for Two-Way Visual Dialogue:
http://goo.gl/YSxcC3
3️⃣Training VAEs Under Structured Residuals:
http://goo.gl/kUdN1y
4️⃣Seeing Voices and Hearing Faces: Cross-modal biometric matching:
http://goo.gl/r4cBM5
5️⃣DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks:
http://goo.gl/dDGzwx
https://yangx.top/ArtificialIntelligenceArticles
6️⃣Deep Texture Manifold for Ground Terrain Recognition:
http://goo.gl/bNt6mV
https://yangx.top/ArtificialIntelligenceArticles
Collection of interesting #ML papers recently out on Arxiv
1️⃣DeSIGN: Design Inspiration from Generative Networks:
http://goo.gl/8GxWne
2️⃣FLIPDIAL: A Generative Model for Two-Way Visual Dialogue:
http://goo.gl/YSxcC3
3️⃣Training VAEs Under Structured Residuals:
http://goo.gl/kUdN1y
4️⃣Seeing Voices and Hearing Faces: Cross-modal biometric matching:
http://goo.gl/r4cBM5
5️⃣DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks:
http://goo.gl/dDGzwx
https://yangx.top/ArtificialIntelligenceArticles
6️⃣Deep Texture Manifold for Ground Terrain Recognition:
http://goo.gl/bNt6mV
https://yangx.top/ArtificialIntelligenceArticles
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ArtificialIntelligenceArticles
for who have a passion for -
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
Step Change Improvement in Molecular Property Prediction with PotentialNet
Paper on a significant improvement in ability to predict molecular properties in drug design. #ML algorithms are getting better and better than classical methods.
Link: https://medium.com/@pandelab/step-change-improvement-in-molecular-property-prediction-with-potentialnet-f431ffa32a2c
#drugsdesign #biolearning #healthcare
Paper on a significant improvement in ability to predict molecular properties in drug design. #ML algorithms are getting better and better than classical methods.
Link: https://medium.com/@pandelab/step-change-improvement-in-molecular-property-prediction-with-potentialnet-f431ffa32a2c
#drugsdesign #biolearning #healthcare
Medium
Step Change Improvement in Molecular Property Prediction with PotentialNet
TL;DR: Pande Lab in collaboration with Merck shows marked increase in ADMET Prediction accuracy with PotentialNet
Representer Point Selection for Explaining Deep Neural Networks by Joon Sik Kim & Chih-Kuan Yeh, #mldcmu
Why did a Deep Neural Network #DNN make a certain prediction
Learn more: https://blog.ml.cmu.edu/2019/04/19/representer-point-selection-explain-dnn/
#AI #machinelearning #deeplearning #ML
Why did a Deep Neural Network #DNN make a certain prediction
Learn more: https://blog.ml.cmu.edu/2019/04/19/representer-point-selection-explain-dnn/
#AI #machinelearning #deeplearning #ML
Machine Learning Blog | ML@CMU | Carnegie Mellon University
Representer Point Selection for Explaining Deep Neural Networks
Why did a Deep Neural Network (DNN) make a certain prediction? Although DNNs have been shown to be extremely accurate predictors in a range of domains, they are still largely black-box functions—even to the experts who train them—due to their complicated…
The field of #machinelearning seeks to answer the question "How can we build computer systems that automatically improve with experience, and what are the fundamental laws that govern all learning processes?," Tom Mitchell on the Discipline of Machine Learning
Story: https://mld.ai/6b76a
Paper: http://www.cs.cmu.edu/~tom/pubs/MachineLearning.pdf
#ML #artificialintelligence #research #carnegiemellon #scsatcmu [ machine learning ] [ artificial intelligence ] #AI #education
Story: https://mld.ai/6b76a
Paper: http://www.cs.cmu.edu/~tom/pubs/MachineLearning.pdf
#ML #artificialintelligence #research #carnegiemellon #scsatcmu [ machine learning ] [ artificial intelligence ] #AI #education
Machine Learning for Everyone.
The best general intro post about Machine Learning, covering everything you need to know not to get overxcited about SkyNet and to get general understanding of all #ML / #AI hype. You can surely save this post into «Saved messages» and forward it to your friends to make them familiar with the subject
Link: https://vas3k.com/blog/machine_learning/
#entrylevel #novice #general
The best general intro post about Machine Learning, covering everything you need to know not to get overxcited about SkyNet and to get general understanding of all #ML / #AI hype. You can surely save this post into «Saved messages» and forward it to your friends to make them familiar with the subject
Link: https://vas3k.com/blog/machine_learning/
#entrylevel #novice #general
Vas3K
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