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Closing the Wearable Gap-Part VII: A Retrospective of Stretch Sensor Tool Kit Development for Benchmark Testing. - Document - Gale Academic OneFile
Archived Post ] ON LARGE-BATCH TRAINING FOR DEEP LEARNING: GENERALIZATION GAP AND SHARP MINIMA | by Jae Duk Seo | Medium
Bridging the implementation gap of machine learning in healthcare | BMJ Innovations
Application and theory gaps during the rise of Artificial Intelligence in Education - ScienceDirect
PDF) Application and theory gaps during the rise of Artificial Intelligence in Education
Explained: GPipe — Training Giant Neural Nets using Pipeline Parallelism | by Rani Horev | Towards Data Science
Bridging the Domain Gap for Neural Models - Apple Machine Learning Research
Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide | npj Computational Materials
Using Machine Learning to Fill Gaps in Chinese AI Market Data - Center for Security and Emerging Technology
PDF) Closing the Racial Achievement Gap:The Role of Reforming Instructional Practices
Bridging the Domain Gap for Neural Models - Apple Machine Learning Research
Machine Learning 2020 summary: 84 interesting papers/articles | by Akihiro FUJII | Towards Data Science
Learning from User Feedback for Machine Translation in Real-Time | SpringerLink
Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide | npj Computational Materials
Need machine learning algorithm to fill in time-series data - Data Science Stack Exchange
A Closer Look at the Generalization Gap in Large Batch Training of Neural Networks | Synced
Machine Learning 2020 summary: 84 interesting papers/articles | by Akihiro FUJII | Towards Data Science
The AI boom is happening all over the world, and it's accelerating quickly - The Verge
OptiFlo Gap headbox for papermakers that ask for more | valmet.com
Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide | npj Computational Materials
Too many machine learning papers? | The Data Mining Blog
Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide | npj Computational Materials
A Closer Look at the Generalization Gap in Large Batch Training of Neural Networks | Synced
The confidence gap predicts the gender pay gap among STEM graduates | PNAS
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