Paper

  • Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets

    Manuel Rodriguez, Eleni Straitouri, Suhas Thejaswi p129443-129479 from Advances in Neural Information Processing Systems 37
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  • Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound

    Reuben Adams, Benjamin Guedj, John Shawe-Taylor p5308-5337 from Advances in Neural Information Processing Systems 37
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  • Controlling Text-to-Image Diffusion by Orthogonal Finetuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Controlling Text-to-Image Diffusion by Orthogonal Finetuning

    Haiwen Feng, Yao Feng, Weiyang Liu, Zhen Liu, Zeju Qiu, Bernhard Schölkopf, Adrian Weller, Yuxuan Xue, Dan Zhang p79320-79362 from Advances in Neural Information Processing Systems 36
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  • ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models

    Xinyue Cai, Hao Fei, Oucheng Huang, Jiayi Ji, Rongrong Ji, Guannan Jiang, Jiale Li, Luo, Xiaoshuai Sun, Mingrui Wu p45206-45234 from Advances in Neural Information Processing Systems 37
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  • ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence

    Shihua Li, Wenjie Mei, Dongzhe Zheng p99232-99261 from Advances in Neural Information Processing Systems 37
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  • ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models

    Chuanhao Li, Yuqi Lin, Shuo Liu, Ping Luo, Yu Qiao, Wenqi Shao, Yue Yang, Kaining Ying, Hao Zhang, Kaipeng Zhang, Tianle Zhang p100734-100782 from Advances in Neural Information Processing Systems 37
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  • Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels

    Jungbin Kim, Insoon Yang p63023-63035 from Advances in Neural Information Processing Systems 36
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  • Convergence Analysis of Sequential Federated Learning on Heterogeneous Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence Analysis of Sequential Federated Learning on Heterogeneous Data

    Yipeng Li, Xinchen Lyu p56700-56755 from Advances in Neural Information Processing Systems 36
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  • Convergence Analysis of Split Federated Learning on Heterogeneous Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence Analysis of Split Federated Learning on Heterogeneous Data

    Pengchao Han, Chao Huang, Xin Liu, Ming Tang, Geng Tian p103476-103544 from Advances in Neural Information Processing Systems 37
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  • Convergence Beyond the Over-Parameterized Regime Using Rayleigh Quotients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence Beyond the Over-Parameterized Regime Using Rayleigh Quotients

    Marc Lelarge, David A. R. Robin, Kevin Scaman p10725-10736 from Advances in Neural Information Processing Systems 35
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  • Convergence for Score-Based Generative Modeling with Polynomial Complexity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence for Score-Based Generative Modeling with Polynomial Complexity

    Holden Lee, Jianfeng Lu, Yixin Tan p22870-22882 from Advances in Neural Information Processing Systems 35
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  • Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis

    Ioannis Anagnostides, Tuomas Sandholm p125839-125878 from Advances in Neural Information Processing Systems 37
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