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

    Wentao Zhu, Jason Qin, Yuke Lou, Hang Ye, Xiaoxuan Ma, Hai Ci, Yizhou Wang 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

    Wanhua Li, Zibin Meng, Jiawei Zhou, Donglai Wei, Chuang Gan, Hanspeter Pfister 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

    Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, 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

    Jiayu Liu, Zhenya Huang, Tong Xiao, Jing Sha, Jinze Wu, Qi Liu, Shijin Wang, Enhong Chen 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

    Zige Wang, Yonggang Zhang, Zhen Fang, Long Lan, Wenjing Yang, Bo Han 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

    Leo Schwinn, David Dobre, Sophie Xhonneux, Gauthier Gidel, Stephan Günnemann 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

    Kent Gauen, Stanley Chan 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

    Zelei Cheng, Xian Wu, Jiahao Yu, Shuo Han, Xin-Qiang Cai, Xinyu Xing 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

    Jaron Maene, Luc De Raedt 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, Jianlin Liu, Jinbao Wang, Qiang Nie, Kai Wu, Yong Liu, Chengjie Wang, 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

    Lu Han, Xu-Yang Chen, 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

    Grzegorz Stefanski, Pawel Daniluk, 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

    Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, 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

    Ruohan Li, Yiqun Xie, Xiaowei Jia, Dongdong Wang, Yanhua Li, Yingxue Zhang, Zhihao Wang, Zhili Li 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

    Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang 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, Simona Vegetti, Nils Thuerey 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

    Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, 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

    Oswin So, Cheng Ge, Chuchu Fan 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

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