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Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model

, , , and . IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, page 14595--14604. Computer Vision Foundation / IEEE, (2021)

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Kronecker Decomposition for Knowledge Graph Embeddings., , and . HT, page 1-10. ACM, (2022)Conformal Credal Self-Supervised Learning., , and . COPA, volume 204 of Proceedings of Machine Learning Research, page 214-233. PMLR, (2023)Scikit-Weak: A Python Library for Weakly Supervised Machine Learning., , , and . IJCRS, volume 13633 of Lecture Notes in Computer Science, page 57-70. Springer, (2022)Kronecker Decomposition for Knowledge Graph Embeddings, , and . HT, Springer, (2022)Robustifying machine learning through weakening supervision.. University of Paderborn, Germany, (2023)Mitigating Label Noise through Data Ambiguation., and . AAAI, page 13799-13807. AAAI Press, (2024)Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model, , , and . IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, page 14595--14604. Computer Vision Foundation / IEEE, (2021)From Label Smoothing to Label Relaxation., and . AAAI, page 8583-8591. AAAI Press, (2021)Robust Regression for Monocular Depth Estimation, , , and . Asian Conference on Machine Learning, ACML 2021, 17-19 November 2021, Virtual Event, volume 157 of Proceedings of Machine Learning Research, page 1001--1016. PMLR, (2021)Credal Self-Supervised Learning., and . NeurIPS, page 14370-14382. (2021)