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Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation.

, , и . AISTATS, том 51 из JMLR Workshop and Conference Proceedings, стр. 770-779. JMLR.org, (2016)

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Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation., , и . AISTATS, том 51 из JMLR Workshop and Conference Proceedings, стр. 770-779. JMLR.org, (2016)Representation learning from videos in-the-wild: An object-centric approach., , , , , , и . WACV, стр. 177-187. IEEE, (2021)Scaling Vision Transformers to 22 Billion Parameters., , , , , , , , , и 32 other автор(ы). ICML, том 202 из Proceedings of Machine Learning Research, стр. 7480-7512. PMLR, (2023)Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 29919-29936. PMLR, (2023)Higher-Order Inference for Multi-class Log-Supermodular Models., , и . ICCV, стр. 1859-1867. IEEE Computer Society, (2015)On Robustness and Transferability of Convolutional Neural Networks., , , , , , , , , и 4 other автор(ы). CoRR, (2020)Scalable Variational Inference in Log-supermodular Models., и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 1804-1813. JMLR.org, (2015)The Visual Task Adaptation Benchmark., , , , , , , , , и 7 other автор(ы). CoRR, (2019)Improving Optimization-Based Approximate Inference by Clamping Variables., , , и . UAI, AUAI Press, (2017)Variational Inference in Mixed Probabilistic Submodular Models., , и . NIPS, стр. 1759-1767. (2016)