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| Determinantal point processes for machine learning | Jul 25, 2012 | BIG-bench Machine LearningPoint Processes | CodeCode Available | 0 | 5 |
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| Bayes-Optimal Classifiers under Group Fairness | Feb 20, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 | 5 |
| BayesPCN: A Continually Learnable Predictive Coding Associative Memory | May 20, 2022 | BIG-bench Machine LearningMeta-Learning | CodeCode Available | 0 | 5 |
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| Persistence Diagrams with Linear Machine Learning Models | Jun 30, 2017 | BIG-bench Machine Learning | CodeCode Available | 0 | 5 |
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| Applying Genetic Programming to Improve Interpretability in Machine Learning Models | May 18, 2020 | BIG-bench Machine LearningExplainable artificial intelligence | CodeCode Available | 0 | 5 |
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| Applying Deep Learning to Basketball Trajectories | Aug 12, 2016 | BIG-bench Machine LearningDeep Learning | CodeCode Available | 0 | 5 |
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| DeepSim: A Reinforcement Learning Environment Build Toolkit for ROS and Gazebo | May 17, 2022 | BIG-bench Machine Learningreinforcement-learning | CodeCode Available | 0 | 5 |
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| DeepNNK: Explaining deep models and their generalization using polytope interpolation | Jul 20, 2020 | BIG-bench Machine LearningInterpretability Techniques for Deep Learning | CodeCode Available | 0 | 5 |
| DeepLogic: Towards End-to-End Differentiable Logical Reasoning | May 18, 2018 | BIG-bench Machine LearningLogical Reasoning | CodeCode Available | 0 | 5 |
