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Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel.

, , and . ICLR, OpenReview.net, (2020)

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DMVP: Foremost Waypoint Coverage of Time-Varying Graphs., , and . WG, volume 8747 of Lecture Notes in Computer Science, page 29-41. Springer, (2014)Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing-and Back., and . ICML, volume 80 of Proceedings of Machine Learning Research, page 3508-3517. PMLR, (2018)Reuse of Neural Modules for General Video Game Playing., , , and . AAAI, page 353-359. AAAI Press, (2016)Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains., and . NeurIPS, page 7901-7912. (2019)Evolutionary neural AutoML for deep learning., , , , , and . GECCO, page 401-409. ACM, (2019)Multi-Robot Foremost Coverage of Time-Varying Graphs., , and . ALGOSENSORS, volume 8847 of Lecture Notes in Computer Science, page 22-38. Springer, (2014)Learning Behavior Characterizations for Novelty Search., , and . GECCO, page 149-156. ACM, (2016)On the Cross-Domain Reusability of Neural Modules for General Video Game Playing., , , and . CGW/GIGA@IJCAI, volume 614 of Communications in Computer and Information Science, page 115-129. Springer, (2015)Effective reinforcement learning through evolutionary surrogate-assisted prescription., , , , , , and . GECCO, page 814-822. ACM, (2020)Evaluating medical aesthetics treatments through evolved age-estimation models., , , , , , , , , and 1 other author(s). GECCO, page 1009-1017. ACM, (2021)