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STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.

, , , , , , , , , , and . EMNLP, page 15079-15094. Association for Computational Linguistics, (2023)

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STAIR: Learning Sparse Text and Image Representation in Grounded Tokens., , , , , , , , , and . CoRR, (2023)Efficient Bayesian Nonparametric Modelling of Structured Point Processes., , , and . UAI, page 310-319. AUAI Press, (2014)STAIR: Learning Sparse Text and Image Representation in Grounded Tokens., , , , , , , , , and 1 other author(s). EMNLP, page 15079-15094. Association for Computational Linguistics, (2023)Variational Inference for Gaussian Process Modulated Poisson Processes., , , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1814-1822. JMLR.org, (2015)Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts., , , , , , , , , and . CoRR, (2023)Masked Autoencoding Does Not Help Natural Language Supervision at Scale., , , , and . CVPR, page 23432-23444. IEEE, (2023)Unknowable Manipulators: Social Network Curator Algorithms., , and . CoRR, (2017)Microprocessor Architecture for a Changing World: The Motorola 68000., and . Computer, 12 (2): 43-52 (1979)Latent Point Process Allocation., , , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 389-397. JMLR.org, (2016)Self Supervision Does Not Help Natural Language Supervision at Scale., , , , and . CoRR, (2023)