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| A Gaussian Process Regression Model for Distribution Inputs | Jan 31, 2017 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 | 0 |
| A general approach to bridge the reality-gap | Sep 3, 2020 | BIG-bench Machine LearningData Augmentation | —Unverified | 0 | 0 |
| A general framework for decentralized optimization with first-order methods | Sep 12, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
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| A generalized concept-cognitive learning: A machine learning viewpoint | Jan 8, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
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| A General Neural Network Hardware Architecture on FPGA | Nov 6, 2017 | Autonomous DrivingBIG-bench Machine Learning | —Unverified | 0 | 0 |
| ORCCA: Optimal Randomized Canonical Correlation Analysis | Oct 11, 2019 | BIG-bench Machine Learningscoring rule | —Unverified | 0 | 0 |
| A General Theory for Training Learning Machine | Apr 23, 2017 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
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| A generic and fast C++ optimization framework | Nov 17, 2017 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
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| Agreement-based Learning | Jun 4, 2018 | BIG-bench Machine LearningModel Selection | —Unverified | 0 | 0 |
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