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Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering.

X. Li, J. Song, L. Gao, X. Liu, W. Huang, X. He, и C. Gan. AAAI, стр. 8658-8665. AAAI Press, (2019)

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Tian Gan

Lishan Gan

Gan Lu

Weihaw Chuang

Lei Gan

Другие публикации лиц с тем же именем

Self-supervised Audio-visual Co-segmentation.A. Rouditchenko, H. Zhao, C. Gan, J. McDermott, и A. Torralba. ICASSP, стр. 2357-2361. IEEE, (2019)Autonomous Tree-search Ability of Large Language Models.Z. Zhang, Z. Ye, Y. Shen, и C. Gan. CoRR, (2023)Augmenting Policy Learning with Routines Discovered from a Demonstration.Z. Zhao, C. Gan, J. Wu, X. Guo, и J. Tenenbaum. CoRR, (2020)Once for All: Train One Network and Specialize it for Efficient DeploymentH. Cai, C. Gan, и S. Han. (2019)cite arxiv:1908.09791.MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning.K. Su, S. Zhou, C. Gan, X. Wang, и Z. Lu. CoRR, (2022)See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning.Z. Chen, Q. Zhou, Y. Shen, Y. Hong, H. Zhang, и C. Gan. CoRR, (2023)Curious Representation Learning for Embodied Intelligence.Y. Du, C. Gan, и P. Isola. ICCV, стр. 10388-10397. IEEE, (2021)ClawSAT: Towards Both Robust and Accurate Code Models.J. Jia, S. Srikant, T. Mitrovska, C. Gan, S. Chang, S. Liu, и U. O'Reilly. SANER, стр. 212-223. IEEE, (2023)Interpreting Adversarial Examples by Activation Promotion and Suppression.K. Xu, S. Liu, G. Zhang, M. Sun, P. Zhao, Q. Fan, C. Gan, и X. Lin. CoRR, (2019)Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following.M. Ding, Y. Xu, Z. Chen, D. Cox, P. Luo, J. Tenenbaum, и C. Gan. CoRL, том 205 из Proceedings of Machine Learning Research, стр. 1743-1754. PMLR, (2022)

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