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Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning., , , , , , and . IEEE Robotics Autom. Lett., 5 (2): 3715-3722 (2020)Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning., , , , , , and . CoRR, (2019)A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers., , , , , and . PACLIC, page 723-742. Association for Computational Linguistics, (2023)Depth Camera Based on Color-Coded Aperture., , , , and . CVPR Workshops, page 910-918. IEEE Computer Society, (2016)Scattering Networks for Hybrid Representation Learning., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 41 (9): 2208-2221 (2019)Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer., and . ICLR (Poster), OpenReview.net, (2017)Polygames: Improved zero learning., , , , , , , , , and 14 other author(s). J. Int. Comput. Games Assoc., 42 (4): 244-256 (2020)Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information., , , , , and . AIST, volume 14486 of Lecture Notes in Computer Science, page 36-48. Springer, (2023)End-to-End Object Detection with Transformers, , , , , and . (2020)cite arxiv:2005.12872.Wide Residual Networks., and . BMVC, BMVA Press, (2016)