Paper

  • QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization

    Shiqi Gao, Tianxiang Gong, Jianxin Li, Qi Song, Haoyi Zhou p28889-28919 from Advances in Neural Information Processing Systems 37
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  • QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation

    Sweta Agrawal, José de Souza, Gonçalo Faria, António Farinhas, André Martins, Ricardo Rei p89042-89068 from Advances in Neural Information Processing Systems 37
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  • QueST: Self-Supervised Skill Abstractions for Learning Continuous Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    QueST: Self-Supervised Skill Abstractions for Learning Continuous Control

    Yongxin Chen, Animesh Garg, Atharva Mete, Albert Wilcox, Haotian Xue p4062-4089 from Advances in Neural Information Processing Systems 37
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  • Questioning the International Legal Framework for a Responsible and Sustainable Space Tourism Activity

    International Astronautical Federation (IAF)

    Questioning the International Legal Framework for a Responsible and Sustainable Space Tourism Activity

    Caroline Thro p882-888 from IISL Colloquium on the Law of Outer Space
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  • Questioning the Survey Responses of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Questioning the Survey Responses of Large Language Models

    Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner p45850-45878 from Advances in Neural Information Processing Systems 37
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  • Queueing Matching Bandits with Preference Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Queueing Matching Bandits with Preference Feedback

    Jung-hun Kim, Min-hwan Oh p64649-64702 from Advances in Neural Information Processing Systems 37
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  • Quick Setup Mechanism for Lunar Base Camp on the Pole / in the Pit

    International Astronautical Federation (IAF)

    Quick Setup Mechanism for Lunar Base Camp on the Pole / in the Pit

    Jun Sato, Saneyuki Kawabata, Tomohiro Yokozeki, Kazuya Saito, Masato Ohata, Sakurai Masato, Yasuhiro Awata, Nao Hoshinouchi p2142-2148 from IAF Space Exploration Symposium
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  • QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation

    Huanjin Wu, Junchi Yan, Xinyu Ye p22745-22771 from Advances in Neural Information Processing Systems 37
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  • QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs

    Negar Kiyavash, Ehsan Mokhtarian, Mohammad Shahverdikondori p55915-55942 from Advances in Neural Information Processing Systems 37
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  • R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction

    Yuanhao Cai, Jiwen Cao, Hongdong Li, Tao Jun Lin, Ruyi Zha, Yanhao Zhang p44907-44934 from Advances in Neural Information Processing Systems 37
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  • R&D PROJECT FOR TECHNOLOGIES ABOUT MID- AND HIGH-RISE TIMBER CONSTRUCTION IN JAPAN

    World Conference on Timber Engineering 2023 (WCTE 2023)

    R&D PROJECT FOR TECHNOLOGIES ABOUT MID- AND HIGH-RISE TIMBER CONSTRUCTION IN JAPAN

    Takahiro Tsuchimoto, Nobuhiko Akiyama, Yoshihiro Yamazaki p2987-2994 from World Conference on Timber Engineering (WCTE 2023)
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  • RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning

    Jose Escamill, Weyl Lu, Huazheng Wang, Yujie Zhao p60835-60871 from Advances in Neural Information Processing Systems 37
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