Paper

  • Learning Where to Edit Vision Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Where to Edit Vision Transformers

    Shengzhuang Chen, Long-Kai Huang, Kede Ma, Ying Wei, Yunqiao Yang p134459-134487 from Advances in Neural Information Processing Systems 37
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  • Learning with Convolution and Pooling Operations in Kernel Methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning with Convolution and Pooling Operations in Kernel Methods

    Song Mei, Theodor Misiakiewicz p29014-29025 from Advances in Neural Information Processing Systems 35
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  • Learning with Explanation Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning with Explanation Constraints

    Maria-Florina Balcan, J. Zico Kolter, Rattana Pukdee, Pradeep Ravikumar, Dylan Sam p49883-49926 from Advances in Neural Information Processing Systems 36
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  • Learning with Fitzpatrick Losses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning with Fitzpatrick Losses

    Mathieu Blondel, Jean-Philippe Chancelier, Michel De Lara, Seta Rakotomandimby p79381-79409 from Advances in Neural Information Processing Systems 37
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  • Learning with Little Mixing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning with Little Mixing

    Stephen Tu, Ingvar Ziemann p4626-4637 from Advances in Neural Information Processing Systems 35
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  • Learning World Models for Unconstrained Goal Navigation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning World Models for Unconstrained Goal Navigation

    Yuanlin Duan, Wensen Mao, He Zhu p59236-59265 from Advances in Neural Information Processing Systems 37
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  • Learning World Models with Identifiable Factorization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning World Models with Identifiable Factorization

    Mingming Gong, Biwei Huang, Yuren Liu, Honglong Tian, Yang Yu, Kun Zhang, Zhengmao Zhu p31831-31864 from Advances in Neural Information Processing Systems 36
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  • Learning-Augmented Algorithms for Online Linear and Semidefinite Programming

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning-Augmented Algorithms for Online Linear and Semidefinite Programming

    Elena Grigorescu, Young-San Lin, Sandeep Silwal, Maoyuan Song, Samson Zhou p38643-38654 from Advances in Neural Information Processing Systems 35
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  • Learning-Augmented Algorithms for the Bahncard Problem

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning-Augmented Algorithms for the Bahncard Problem

    Peng Chen, Shuiguang Deng, Xueyan Tang, Hailiang Zhao p113234-113281 from Advances in Neural Information Processing Systems 37
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  • Learning-Augmented Algorithms with Explicit Predictors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning-Augmented Algorithms with Explicit Predictors

    Marek Eliáš, Haim Kaplan, Yishay Mansour, Shay Moran p97972-98008 from Advances in Neural Information Processing Systems 37
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  • Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems

    Vincent Cohen-Addad, Tommaso d'Orsi, Anupam Gupta, Euiwoong Lee, Debmalya Panigrahi p25961-25980 from Advances in Neural Information Processing Systems 37
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  • Learning-Augmented Dynamic Submodular Maximization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning-Augmented Dynamic Submodular Maximization

    Arpit Agarwal, Eric Balkanski p14148-14176 from Advances in Neural Information Processing Systems 37
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