Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Inverse Game Theory for Stackelberg Games: The Blessing of Bounded Rationality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inverse Game Theory for Stackelberg Games: The Blessing of Bounded Rationality

    Fei Fang, Weiran Shen, Jibang Wu, Haifeng Xu p32186-32198 from Advances in Neural Information Processing Systems 35
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  • Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions

    Hideaki Kim p31036-31055 from Advances in Neural Information Processing Systems 37
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  • Inverse Preference Learning: Preference-based RL without a Reward Function

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inverse Preference Learning: Preference-based RL without a Reward Function

    Joey Hejna, Dorsa Sadigh p18806-18827 from Advances in Neural Information Processing Systems 36
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  • Inverse Reinforcement Learning with the Average Reward Criterion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inverse Reinforcement Learning with the Average Reward Criterion

    Jingyang Ke, Anqi Wu, Feiyang Wu p69117-69129 from Advances in Neural Information Processing Systems 36
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  • Inversion-based Latent Bayesian Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inversion-based Latent Bayesian Optimization

    Jaewon Chu, Hyunwoo Kim, Seunghun Lee, Jinyoung Park p68258-68286 from Advances in Neural Information Processing Systems 37
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  • InversionView: A General-Purpose Method for Reading Information from Neural Activations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InversionView: A General-Purpose Method for Reading Information from Neural Activations

    Navin Goyal, Michael Hahn, Xinting Huang, Madhur Panwar p137903-137964 from Advances in Neural Information Processing Systems 37
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  • Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps

    Artem Babenko, Dmitry Baranchuk, Mikhail Khoroshikh, Nikita Starodubcev p12496-12527 from Advances in Neural Information Processing Systems 37
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  • Invertible Monotone Operators for Normalizing Flows

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Invertible Monotone Operators for Normalizing Flows

    Byeongkeun Ahn, Youngjoon Hong, Chiyoon Kim, Hyunwoo Kim p16836-16848 from Advances in Neural Information Processing Systems 35
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  • Investigating how ReLU-networks encode symmetries

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Investigating how ReLU-networks encode symmetries

    Georg Bökman, Fredrik Kahl p13720-13744 from Advances in Neural Information Processing Systems 36
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  • Invisible Image Watermarks Are Provably Removable Using Generative AI

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Invisible Image Watermarks Are Provably Removable Using Generative AI

    Ilya Grishchenko, Christopher Kruegel, Lei Li, Zihao Su, Saastha Vasan, Giovanni Vigna, Yu-Xiang Wang, Kexun Zhang, Xuandong Zhao p8643-8672 from Advances in Neural Information Processing Systems 37
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  • IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution

    Zai-Zuo Tang, Yu-Bin Yang p117291-117314 from Advances in Neural Information Processing Systems 37
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  • IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs

    Qihong Duan, Xi Gao, Qingjiang Shi, Akang Wang, Jinxin Xiong, Jiang Xue p122891-122916 from Advances in Neural Information Processing Systems 37
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  • IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers

    Xiaoan Bao, Zhenglin Huang, Xiao Tu, Biao Wu, Xi Yang, Na Zhang, Qingqi Zhang p63660-63673 from Advances in Neural Information Processing Systems 36
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  • IPO: Interpretable Prompt Optimization for Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    IPO: Interpretable Prompt Optimization for Vision-Language Models

    Yingjun Du, Cees Snoek, Wenfang Sun p126725-126766 from Advances in Neural Information Processing Systems 37
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  • IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering

    Xinya Du, Ruochen Li, Ruosen Li, Barry Wang p109894-109921 from Advances in Neural Information Processing Systems 37
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  • IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model

    Xiaoxuan Gong, Jie Ma p75559-75584 from Advances in Neural Information Processing Systems 37
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  • IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons

    Weilong Dong, Renren Jin, Tianhao Shen, Dan Shi, Xinwei Wu, Deyi Xiong p4997-5024 from Advances in Neural Information Processing Systems 37
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  • Iron: Private Inference on Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Iron: Private Inference on Transformers

    Hanxiao Chen, Meng Hao, Hongwei Li, Pengzhi Xing, Guowen Xu, Tianwei Zhang p15718-15731 from Advances in Neural Information Processing Systems 35
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  • Is a Modular Architecture Enough?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is a Modular Architecture Enough?

    Yoshua Bengio, Guillaume Lajoie, Sarthak Mittal p28747-28760 from Advances in Neural Information Processing Systems 35
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  • Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

    Neel Joshi, Yixuan Li, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Jiayu Wang, Xin Wang p75392-75421 from Advances in Neural Information Processing Systems 37
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  • Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

    Adam Block, Dylan Foster, Dipendra Misra p120602-120666 from Advances in Neural Information Processing Systems 37
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  • Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance?

    Garud Iyengar, Henry Lam, Tianyu Wang p94736-94775 from Advances in Neural Information Processing Systems 37
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  • Is Distance Matrix Enough for Geometric Deep Learning?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Distance Matrix Enough for Geometric Deep Learning?

    Yinan Huang, Zian Li, Xiyuan Wang, Muhan Zhang p37413-37447 from Advances in Neural Information Processing Systems 36
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  • Is Function Similarity Over-Engineered? Building a Benchmark

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Function Similarity Over-Engineered? Building a Benchmark

    Noah Fleischmann, James Holt, Chang Liu, Kristopher Micinski, Edward Raff, Rebecca Saul, Richard Zak p21636-21655 from Advances in Neural Information Processing Systems 37
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