Paper

  • BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

    Canyu Chen, George H Chen, Kaize Ding, Xueying Ding, Yingtong Dou, Xiyang Hu, Zhihao Jia, Jundong Li, Kay Liu, Hao Peng, Kai Shu, Lichao Sun, Philip S Yu, Ruitong Zhang, Yue Zhao p27021-27035 from Advances in Neural Information Processing Systems 35
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  • BONDED-IN RODS IN BEECH GLULAM - EFFICIENCY OF A RECESS IN THE BONDLINE

    World Conference on Timber Engineering 2023 (WCTE 2023)

    BONDED-IN RODS IN BEECH GLULAM - EFFICIENCY OF A RECESS IN THE BONDLINE

    Steffen Franke, Bettina Franke, Alexander Salenikovich p1512-1518 from World Conference on Timber Engineering (WCTE 2023)
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  • BONDING OF FIRE-RETARDANT TREATED SPRUCE LAMELLAE FOR USE IN CROSS LAMINATED TIMBER (CLT)

    World Conference on Timber Engineering 2023 (WCTE 2023)

    BONDING OF FIRE-RETARDANT TREATED SPRUCE LAMELLAE FOR USE IN CROSS LAMINATED TIMBER (CLT)

    Karl-Christian Mahnert, Stine Lønbro Bertelsen p225-231 from World Conference on Timber Engineering (WCTE 2023)
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  • BONDING PERFORMANCE OF MUF AND PUR ADHESIVES FOR GLUED LAMINATED TIMBER

    World Conference on Timber Engineering 2025

    BONDING PERFORMANCE OF MUF AND PUR ADHESIVES FOR GLUED LAMINATED TIMBER

    Milan Šernek, Bogdan Šega, Andrej Fašalek p3576-3583 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping

    Bin Chen, Tao Dai, Hang Guo, Jinpeng Wang, Shu-tao Xia, Taolin Zhang p67795-67825 from Advances in Neural Information Processing Systems 37
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  • Boosted Conformal Prediction Intervals

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosted Conformal Prediction Intervals

    Rina Barber, Emmanuel Candès, Ran Xie p71868-71899 from Advances in Neural Information Processing Systems 37
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  • Boosting Adversarial Transferability by Achieving Flat Local Maxima

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Adversarial Transferability by Achieving Flat Local Maxima

    Zhijin Ge, Hongying Liu, Yuanyuan Liu, Fanhua Shang, Wang Xiaosen p70141-70161 from Advances in Neural Information Processing Systems 36
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  • Boosting Alignment for Post-Unlearning Text-to-Image Generative Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Alignment for Post-Unlearning Text-to-Image Generative Models

    Ruoxi Jia, Ming Jin, Myeongseob Ko, Henry Li, Qinbin Li, Jonathan Patsenker, Dawn Song, Jiachen Wang, Zhun Wang p85131-85154 from Advances in Neural Information Processing Systems 37
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  • Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness

    Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang p1307-1319 from Advances in Neural Information Processing Systems 35
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  • 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 Learning for LDPC Codes to Improve the Error-Floor Performance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Boosting Learning for LDPC Codes to Improve the Error-Floor Performance

    Sang-Hyo Kim, Yongjune Kim, Hee-Youl Kwak, Jong-Seon No, Dae-Young Yun p22115-22131 from Advances in Neural Information Processing Systems 36
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