Paper

  • An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning

    Junqi Gao, Dong Li, Biqing Qi, Aijia Zhang p130084-130108 from Advances in Neural Information Processing Systems 37
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  • An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding

    Tong Wu, Yanpeng Zhao, Zilong Zheng p56349-56373 from Advances in Neural Information Processing Systems 37
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  • An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning

    Yuxin Peng, Xiu-Shen Wei, H.-Y. Xu, Faen Zhang, Wei Zhou p14489-14500 from Advances in Neural Information Processing Systems 35
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  • An Empirical Study on Disentanglement of Negative-Free Contrastive Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Empirical Study on Disentanglement of Negative-Free Contrastive Learning

    Jinkun Cao, Yang Gao, Jialei Huang, Ruiqian Nai, Qing Yang p1210-1222 from Advances in Neural Information Processing Systems 35
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  • An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations

    Hongxu Chen, Yicong Li, Guandong Xu, Haoran Yang, Xiangyu Zhao p62853-62868 from Advances in Neural Information Processing Systems 36
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  • An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval

    Huilong Jin, Feifei Kou, Jia Luo, Lei Shi, Jiapeng Yang, Shuang Zhang, Yingxue Zhang, Chuangying Zhu p2106-2126 from Advances in Neural Information Processing Systems 37
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  • An engine not a camera: Measuring performative power of online search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An engine not a camera: Measuring performative power of online search

    Gabriele Carovano, Moritz Hardt, Celestine Mendler-Dünner p59266-59288 from Advances in Neural Information Processing Systems 37
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  • AN ENGINEERING MODEL FOR THE DESIGN OF CUT-BACKS IN RIBBED PANELS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    AN ENGINEERING MODEL FOR THE DESIGN OF CUT-BACKS IN RIBBED PANELS

    Medhanye Biedebrhan Tekleab, Manfred Augustin, Gerhard Schickhofer p2365-2375 from World Conference on Timber Engineering (WCTE 2023)
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  • AN ENTIRELY WOOD FLOOR SYSTEM DESIGNED FOR BIOGENIC CARBON STORAGE, ADAPTABILITY, AND END-OF-LIFE DE/RE/CONSTRUCTION – ASSEMBLY DESIGN

    World Conference on Timber Engineering 2025

    AN ENTIRELY WOOD FLOOR SYSTEM DESIGNED FOR BIOGENIC CARBON STORAGE, ADAPTABILITY, AND END-OF-LIFE DE/RE/CONSTRUCTION – ASSEMBLY DESIGN

    Sovanrath Ou, Amin Nabati, Muzan Williams Ijeoma, Weichiang Pang, Michael Stoner, Brandon Ross, Dustin Albright, Patricia Layton, Mik Carbajales-Dale p4944-4950 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • An Equivalence Between Static and Dynamic Regret Minimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Equivalence Between Static and Dynamic Regret Minimization

    Andrew Jacobsen, Francesco Orabona p98835-98870 from Advances in Neural Information Processing Systems 37
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  • An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem

    Nayara Fonseca, Seok Lee, Ard Louis, Chris Mingard, Yoonsoo Nam p39632-39693 from Advances in Neural Information Processing Systems 37
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  • An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations

    Weimin Bai, Wenzheng Chen, He Sun, Yifei Wang p19447-19471 from Advances in Neural Information Processing Systems 37
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