Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data

    Bang An, Tianbao Yang, Yongjian Zhong, Xun Zhou p9919-9930 from Advances in Neural Information Processing Systems 36
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  • SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models

    An-Chieh Cheng, Yang Fu, Qiushan Guo, Jan Kautz, Sifei Liu, Xiaolong Wang, Ruihan Yang, Hongxu Yin p135062-135093 from Advances in Neural Information Processing Systems 37
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  • Spatio-Angular Convolutions for Super-resolution in Diffusion MRI

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spatio-Angular Convolutions for Super-resolution in Diffusion MRI

    Mauricio A Álvarez, Paul Armitage, Matthew Lyon p12457-12475 from Advances in Neural Information Processing Systems 36
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  • Spatio-Spectral Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spatio-Spectral Graph Neural Networks

    Simon Geisler, Stephan Günnemann, Daniel Herbst, Arthur Kosmala p49022-49080 from Advances in Neural Information Processing Systems 37
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  • Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras

    Yuchao Dai, Bin Fan, Tiejun Huang, Boxin Shi, Chao Xu, Jiaoyang Yin p21401-21427 from Advances in Neural Information Processing Systems 37
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  • SPD Domain-Specific Batch Normalization to Crack Interpretable Unsupervised Domain Adaptation in EEG

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SPD Domain-Specific Batch Normalization to Crack Interpretable Unsupervised Domain Adaptation in EEG

    Jun-Ichiro Hirayama, Motoaki Kawanabe, Reinmar Kobler, Qibin Zhao p6219-6235 from Advances in Neural Information Processing Systems 35
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  • SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-Agent Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-Agent Reinforcement Learning

    Shuncheng He, Xiangyang Ji, Yuhang Jiang, Jianzhun Shao, Hongchang Zhang p20661-20674 from Advances in Neural Information Processing Systems 35
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  • Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication

    Federico Cerutti, Olaf Lipinski, Timothy Norman, Adam Sobey p140113-140137 from Advances in Neural Information Processing Systems 37
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  • SpeAr: A Spectral Approach for Zero-Shot Node Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SpeAr: A Spectral Approach for Zero-Shot Node Classification

    Ting Guo, Jiye Liang, Da Wang, Jianchao Zeng, Kaihan Zhang p69000-69021 from Advances in Neural Information Processing Systems 37
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  • SPEAR: Exact Gradient Inversion of Batches in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SPEAR: Exact Gradient Inversion of Batches in Federated Learning

    Maximilian Baader, Dimitar Dimitrov, Mark Müller, Martin Vechev p106768-106799 from Advances in Neural Information Processing Systems 37
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  • Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting

    Xinyu Gao, Yi-Hua Huang, Shaohui Jiao, Xiaogang Jin, Xiaoyang Lyu, Xiaojuan Qi, Yang-Tian Sun, Ziyi Yang, Wen Zhou p61192-61216 from Advances in Neural Information Processing Systems 37
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  • SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices

    Beidi Chen, Zhuoming Chen, Zhihao Jia, Avner May, Max Ryabinin, Ruslan Svirschevski p16342-16368 from Advances in Neural Information Processing Systems 37
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  • Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition

    Kai Han, Wei He, Ying Nie, Chengcheng Wang, Yunhe Wang p44957-44975 from Advances in Neural Information Processing Systems 36
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  • SpecTr: Fast Speculative Decoding via Optimal Transport

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SpecTr: Fast Speculative Decoding via Optimal Transport

    Ahmad Beirami, Himanshu Jain, Jae Hun Ro, Ziteng Sun, Ananda Theertha Suresh, Felix Yu p30222-30242 from Advances in Neural Information Processing Systems 36
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  • Spectral Adapter: Fine-Tuning in Spectral Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spectral Adapter: Fine-Tuning in Spectral Space

    Mert Pilanci, Fangzhao Zhang p130819-130847 from Advances in Neural Information Processing Systems 37
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  • Spectral Bias in Practice: The Role of Function Frequency in Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spectral Bias in Practice: The Role of Function Frequency in Generalization

    Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs p7368-7382 from Advances in Neural Information Processing Systems 35
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  • Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime

    Benjamin Bowman, Guido Montufar p30362-30377 from Advances in Neural Information Processing Systems 35
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  • Spectral Co-Distillation for Personalized Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spectral Co-Distillation for Personalized Federated Learning

    Zihan Chen, Kai Fong Ernest Chong, Tony Quek, Howard Yang p8757-8773 from Advances in Neural Information Processing Systems 36
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  • Spectral Editing of Activations for Large Language Model Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spectral Editing of Activations for Large Language Model Alignment

    Shay Cohen, Anna Korhonen, Edoardo Ponti, Yifu Qiu, Zheng Zhao, Yftah Ziser p56958-56987 from Advances in Neural Information Processing Systems 37
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  • Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning

    Yassir Jedra, Alexandre Proutiere, Stefan Stojanovic p77056-77070 from Advances in Neural Information Processing Systems 36
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  • Spectral Evolution and Invariance in Linear-width Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spectral Evolution and Invariance in Linear-width Neural Networks

    Tony Chiang, Ioana Dumitriu, Andrew Engel, Anand D Sarwate, Zhichao Wang p20695-20728 from Advances in Neural Information Processing Systems 36
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  • Spectral Graph Pruning Against Over-Squashing and Over-Smoothing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spectral Graph Pruning Against Over-Squashing and Over-Smoothing

    Rebekka Burkholz, Adarsh Jamadandi, Celia Rubio-Madrigal p10348-10379 from Advances in Neural Information Processing Systems 37
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  • Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts

    Haoyang Li, Zhou Qin, Xin Wang, Weigao Wen, Hui Xue', Zeyang Zhang, Ziwei Zhang, Wenwu Zhu p6619-6633 from Advances in Neural Information Processing Systems 36
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  • Spectral Learning of Shared Dynamics Between Generalized-Linear Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Spectral Learning of Shared Dynamics Between Generalized-Linear Processes

    Lucine Oganesian, Omid Sani, Maryam Shanechi p89150-89183 from Advances in Neural Information Processing Systems 37
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