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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale., , , , , , , , , and 2 other author(s). ICLR, OpenReview.net, (2021)Insertion Transformer: Flexible Sequence Generation via Insertion Operations., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5976-5985. PMLR, (2019)Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations., , , , , , , , , and 3 other author(s). CVPR, page 6219-6228. IEEE, (2022)Inducing Sentence Structure from Parallel Corpora for Reordering., and . EMNLP, page 193-203. ACL, (2011)Blockwise Parallel Decoding for Deep Autoregressive Models., , and . NeurIPS, page 10107-10116. (2018)An Empirical Study of Generation Order for Machine Translation., , , and . EMNLP (1), page 5764-5773. Association for Computational Linguistics, (2020)How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers., , , , , and . CoRR, (2021)Music Transformer, , , , , , , , , and . (2018)cite arxiv:1809.04281Comment: Improved skewing section and accompanying figures. Previous titles are Än Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation" and "Music Transformer".Differentiable Patch Selection for Image Recognition., , , , , and . CVPR, page 2351-2360. Computer Vision Foundation / IEEE, (2021)Natural Questions: a Benchmark for Question Answering Research., , , , , , , , , and 8 other author(s). Trans. Assoc. Comput. Linguistics, (2019)