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Bottleneck Transformers for Visual Recognition.

, , , , , and . CVPR, page 16519-16529. Computer Vision Foundation / IEEE, (2021)

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Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation., , , , , , , and . CoRR, (2020)Reinforcement Learning with Latent Flow., , , , , , and . NeurIPS, page 22171-22183. (2021)SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning., , , , and . CVPR, page 2674-2683. Computer Vision Foundation / IEEE, (2021)Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4739-4748. PMLR, (2018)Bottleneck Transformers for Visual Recognition., , , , , and . CVPR, page 16519-16529. Computer Vision Foundation / IEEE, (2021)CURL: Contrastive Unsupervised Representations for Reinforcement Learning., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5639-5650. PMLR, (2020)Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2722-2730. PMLR, (2019)Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings., , , and . NeurIPS, page 26779-26791. (2021)Revisiting ResNets: Improved Training and Scaling Strategies., , , , , , , and . NeurIPS, page 22614-22627. (2021)Decision Transformer: Reinforcement Learning via Sequence Modeling., , , , , , , , and . NeurIPS, page 15084-15097. (2021)