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Snapshot Ensembles: Train 1, Get M for Free., , , , , and . ICLR (Poster), OpenReview.net, (2017)On Fairness and Calibration., , , , and . NIPS, page 5680-5689. (2017)Deep Feature Interpolation for Image Content Changes., , , , , , and . CVPR, page 6090-6099. IEEE Computer Society, (2017)Memory-Efficient Implementation of DenseNets., , , , , and . CoRR, (2017)Constant-Time Predictive Distributions for Gaussian Processes., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4111-4120. PMLR, (2018)GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration., , , , and . NeurIPS, page 7587-7597. (2018)Variational Nearest Neighbor Gaussian Processes., , and . CoRR, (2022)Deep Ensembles Work, But Are They Necessary?, , , , and . CoRR, (2022)Product Kernel Interpolation for Scalable Gaussian Processes., , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1407-1416. PMLR, (2018)On Calibration of Modern Neural Networks., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1321-1330. PMLR, (2017)