Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Social Motion Prediction with Cognitive Hierarchies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Social Motion Prediction with Cognitive Hierarchies

    Hai Ci, Yuke Lou, Xiaoxuan Ma, Jason Qin, Yizhou Wang, Hang Ye, Wentao Zhu p77675-77690 from Advances in Neural Information Processing Systems 36
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  • Social-Inverse: Inverse Decision-Making of Social Contagion Management with Task Migrations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Social-Inverse: Inverse Decision-Making of Social Contagion Management with Task Migrations

    Guangmo Tong p31726-31740 from Advances in Neural Information Processing Systems 35
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  • SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization

    Chuang Gan, Wanhua Li, Zibin Meng, Hanspeter Pfister, Donglai Wei, Jiawei Zhou p2267-2291 from Advances in Neural Information Processing Systems 37
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  • Society of Agents: Regret Bounds of Concurrent Thompson Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Society of Agents: Regret Bounds of Concurrent Thompson Sampling

    Qinxun Bai, Yan Chen, Maria Dimakopoulou, Perry Dong, Wei Xu, Zhengyuan Zhou p7587-7598 from Advances in Neural Information Processing Systems 35
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  • SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models

    Enhong Chen, Zhenya Huang, Jiayu Liu, Qi Liu, Jing Sha, Shijin Wang, Jinze Wu, Tong Xiao p85693-85721 from Advances in Neural Information Processing Systems 37
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  • SODA: Robust Training of Test-Time Data Adaptors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SODA: Robust Training of Test-Time Data Adaptors

    Zhen Fang, Bo Han, Long Lan, Zige Wang, Wenjing Yang, Yonggang Zhang p44017-44038 from Advances in Neural Information Processing Systems 36
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  • Soft ascent-descent as a stable and flexible alternative to flooding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Soft ascent-descent as a stable and flexible alternative to flooding

    Matthew Holland, Kosuke Nakatani p37955-37987 from Advances in Neural Information Processing Systems 37
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  • Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space

    David Dobre, Gauthier Gidel, Stephan Günnemann, Leo Schwinn, Sophie Xhonneux p9086-9116 from Advances in Neural Information Processing Systems 37
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  • Soft Superpixel Neighborhood Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Soft Superpixel Neighborhood Attention

    Stanley Chan, Kent Gauen p116933-116959 from Advances in Neural Information Processing Systems 37
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  • Soft-Label Integration for Robust Toxicity Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Soft-Label Integration for Robust Toxicity Classification

    Xin-Qiang Cai, Zelei Cheng, Shuo Han, Xian Wu, Xinyu Xing, Jiahao Yu p94776-94807 from Advances in Neural Information Processing Systems 37
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  • Soft-Unification in Deep Probabilistic Logic

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Soft-Unification in Deep Probabilistic Logic

    Luc De Raedt, Jaron Maene p60804-60820 from Advances in Neural Information Processing Systems 36
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  • Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks

    Changhyeon Lee, Seulki Lee p15108-15120 from Advances in Neural Information Processing Systems 36
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  • SoftPatch: Unsupervised Anomaly Detection with Noisy Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SoftPatch: Unsupervised Anomaly Detection with Noisy Data

    Xi Jiang, Yong Liu, Jianlin Liu, Qiang Nie, Chengjie Wang, Jinbao Wang, Kai Wu, Feng Zheng p15433-15445 from Advances in Neural Information Processing Systems 35
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  • SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion

    Xu-Yang Chen, Lu Han, Han-Jia Ye, De-Chuan Zhan p64145-64175 from Advances in Neural Information Processing Systems 37
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  • SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model

    Paweł Daniluk, Grzegorz Stefański, Artur Szumaczuk, Jakub Tkaczuk p19353-19377 from Advances in Neural Information Processing Systems 37
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  • SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions

    Yuriy Biktairov, Jyotirmoy Deshmukh p33161-33173 from Advances in Neural Information Processing Systems 36
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  • SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning

    Gang Chen, Lei Feng, Yixuan Li, Yuren Mao, Haobo Wang, Mingxuan Xia, Junbo Zhao p8104-8117 from Advances in Neural Information Processing Systems 35
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  • SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting

    Xiaowei Jia, Ruohan Li, Yanhua Li, Zhili Li, Dongdong Wang, Zhihao Wang, Yiqun Xie, Yingxue Zhang p3499-3513 from Advances in Neural Information Processing Systems 37
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  • Solving a Class of Non-Convex  Minimax Optimization in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Solving a Class of Non-Convex Minimax Optimization in Federated Learning

    Zhengmian Hu, Heng Huang, Jianhui Sun, Xidong Wu, Aidong Zhang p11232-11245 from Advances in Neural Information Processing Systems 36
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  • Solving Inverse Physics Problems with Score Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Solving Inverse Physics Problems with Score Matching

    Benjamin Holzschuh, Nils Thuerey, Simona Vegetti p61888-61922 from Advances in Neural Information Processing Systems 36
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  • Solving Inverse Problems via Diffusion Optimal Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Solving Inverse Problems via Diffusion Optimal Control

    Henry Li, Marcus Pereira p73549-73571 from Advances in Neural Information Processing Systems 37
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  • Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models

    Constantine Caramanis, Giannis Daras, Alex Dimakis, Negin Raoof, Litu Rout, Sanjay Shakkottai p49960-49990 from Advances in Neural Information Processing Systems 36
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  • Solving Minimum-Cost Reach Avoid using Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Solving Minimum-Cost Reach Avoid using Reinforcement Learning

    Chuchu Fan, Cheng Ge, Oswin So p30951-30984 from Advances in Neural Information Processing Systems 37
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  • Solving Quantitative Reasoning Problems with Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Solving Quantitative Reasoning Problems with Language Models

    Anders Andreassen, Cem Anil, David Dohan, Ethan Dyer, Guy Gur-Ari, Theo Gutman-Solo, Aitor Lewkowycz, Henryk Michalewski, Vedant Misra, Behnam Neyshabur, Vinay Ramasesh, Imanol Schlag, Ambrose Slone, Yuhuai Wu p3843-3857 from Advances in Neural Information Processing Systems 35
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