Paper

  • Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning

    Patrick Gallinari, Armand Kassaï Koupaï, Jorge Mifsut Benet, Jean-Noël Vittaut, Yuan Yin p70659-70692 from Advances in Neural Information Processing Systems 37
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  • Boosting Graph Pooling with Persistent Homology

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Graph Pooling with Persistent Homology

    Chaolong Ying, Tianshu Yu, Xinjian Zhao p19087-19113 from Advances in Neural Information Processing Systems 37
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  • Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance

    Naveed Haghani, Furong Huang, Joshua McClellan, Pratap Tokekar, John Winder p41132-41156 from Advances in Neural Information Processing Systems 37
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  • Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing

    Yadong Qu, Yuxin Wang, Zixiao Wang, Hongtao Xie, Yongdong Zhang, Bangbang Zhou p105503-105527 from Advances in Neural Information Processing Systems 37
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  • Boosting Text-to-Video Generative Model with MLLMs Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Text-to-Video Generative Model with MLLMs Feedback

    Shaohan Huang, Guolong Wang, Furu Wei, Xun Wu, Jing Xiong p139444-139469 from Advances in Neural Information Processing Systems 37
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  • Boosting the Potential of Large Language Models with an Intelligent Information Assistant

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting the Potential of Large Language Models with an Intelligent Information Assistant

    Zhicheng Dou, Zheng Liu, Yujia Zhou p22971-22992 from Advances in Neural Information Processing Systems 37
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  • Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning

    Xin Feng, Di Ming, Peng Ren, Yunlong Wang p20887-20918 from Advances in Neural Information Processing Systems 37
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  • Boosting Transferability and Discriminability for Time Series Domain Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Transferability and Discriminability for Time Series Domain Adaptation

    Xinyang Chen, Weili Guan, Xiucheng Li, Mingyang Liu, Liqiang Nie, Yang Shu p100402-100427 from Advances in Neural Information Processing Systems 37
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  • Boosting Vision-Language Models with Transduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Vision-Language Models with Transduction

    Ismail Ayed, Benoît Gérin, Maxime Zanella p62223-62256 from Advances in Neural Information Processing Systems 37
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  • Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension

    Gerhard Hancke, Rynson Lau, Jiaying Lin, Yuhao Liu, Zaiquan Yang p93213-93239 from Advances in Neural Information Processing Systems 37
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  • Bootstrap Inference for The Binary Panel Model with Fixed Effects

    Aussino Academic Publishing House (AAPH)

    Bootstrap Inference for The Binary Panel Model with Fixed Effects

    Fene WU p738-746 from 13th International Symposium on Project Management (ISPM2025)
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  • Bootstrapping Top-down Information for Self-modulating Slot Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bootstrapping Top-down Information for Self-modulating Slot Attention

    Dongwon Kim, Seoyeon Kim, Suha Kwak p103751-103773 from Advances in Neural Information Processing Systems 37
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