Paper

  • Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models

    Xiang Fang, Daizong Liu, Xiaoye Qu, Lichao Sun, Keke Tang, Yao Wan, Mingyu Yang, Pan Zhou p52127-52158 from Advances in Neural Information Processing Systems 37
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  • PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation

    Mohit Bansal, Jialu Li p21878-21894 from Advances in Neural Information Processing Systems 36
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  • PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas

    Yan-Pei Cao, Zheng Chen, Yuan-Chen Guo, Ying Shan, Chen Wang, Song-Hai Zhang p6961-6985 from Advances in Neural Information Processing Systems 36
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  • PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining

    Alireza Akbari, Sébastien Gambs, Mishaal Kazmi, Hadrien Lautraite, Mathias Lécuyer, Mauricio Soroco, Qiaoyue Tang, Tao Wang p57262-57300 from Advances in Neural Information Processing Systems 37
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  • PAPR: Proximity Attention Point Rendering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAPR: Proximity Attention Point Rendering

    Ke Li, Alireza Moazeni, Shichong Peng, Yanshu Zhang p60307-60328 from Advances in Neural Information Processing Systems 36
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  • Para-CFlows: Ck-Universal Diffeomorphism Approximators as Superior Neural Surrogates

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Para-CFlows: Ck-Universal Diffeomorphism Approximators as Superior Neural Surrogates

    Zhitang Chen, Wenjing Cun, Chang Feng, Yanhui Geng, Junlong Lyu, Zhijie Xu, Chen Yongwei, Shengyu Zhu p28829-28841 from Advances in Neural Information Processing Systems 35
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  • ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP

    Xuan Chen, Guangyu Shen, Guanhong Tao, Lu Yan, Kaiyuan Zhang, Xiangyu Zhang, Zhuo Zhang p66755-66767 from Advances in Neural Information Processing Systems 36
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  • Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation

    Jung-Woo Ha, Kyeongseok Jeong, Heeseung Kim, Jungwhan Kim, Soyoon Kim, Ohsung Kwon, Jaehong Lee, Myungwoo Oh, Soonshin Seo, Eunwoo Song, Kang Min Yoo, Sungroh Yoon p131072-131103 from Advances in Neural Information Processing Systems 37
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  • Parallel Backpropagation for Shared-Feature Visualization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Parallel Backpropagation for Shared-Feature Visualization

    Anna Bognár, Martin Giese, Alexander Lappe, Lucas Martini, Albert Mukovskiy, Ghazaleh Nejad, Rufin Vogels p22993-23012 from Advances in Neural Information Processing Systems 37
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  • Parallel Sampling of Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Parallel Sampling of Diffusion Models

    Nima Anari, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Andy Shih p4263-4276 from Advances in Neural Information Processing Systems 36
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  • Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies

    Ding Chen, Yanqi Chen, Wei Fang, Zhengyu Ma, Timothée Masquelier, Yonghong Tian, Zhaofei Yu, Zhaokun Zhou p53674-53687 from Advances in Neural Information Processing Systems 36
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  • Parallel Submodular Function Minimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Parallel Submodular Function Minimization

    Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang, Aaron Sidford p68639-68654 from Advances in Neural Information Processing Systems 36
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