Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • UQE: A Query Engine for Unstructured Databases

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    UQE: A Query Engine for Unstructured Databases

    Bo Dai, Hanjun Dai, Azade Nova, Phitchaya Phothilimthana, Dale Schuurmans, Charles Sutton, Xingchen Wan, Bethany Wang, Sherry Yang, Pengcheng Yin p29807-29838 from Advances in Neural Information Processing Systems 37
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  • UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers Trained Via Conditional GANs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers Trained Via Conditional GANs

    Gernot Fink, Philipp Oberdiek, Matthias Rottmann p21371-21385 from Advances in Neural Information Processing Systems 35
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  • UrbanDataLayer: A Unified Data Pipeline for Urban Science

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    UrbanDataLayer: A Unified Data Pipeline for Urban Science

    Linghe Kong, Tianyu Wang, Yiheng Wang, Hongji Zhang, Yuying Zhang, Guanjie Zheng, Haoyu Zheng p7296-7310 from Advances in Neural Information Processing Systems 37
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  • UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction

    Hao Liu, Yansong Ning p123127-123154 from Advances in Neural Information Processing Systems 37
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  • URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates

    Dr. Enkelejda Kasneci, Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh p13956-13980 from Advances in Neural Information Processing Systems 36
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  • USB: A Unified Semi-Supervised Learning Benchmark for Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    USB: A Unified Semi-Supervised Learning Benchmark for Classification

    Hao Chen, Yue Fan, Lan-Zhe Guo, Wenxin Hou, Yu-Feng Li, Satoshi Nakamura, Heli Qi, Bhiksha Raj, Marios Savvides, Bernt Schiele, Takahiro Shinozaki, Wang Sun, Ran Tao, Jindong Wang, Renjie Wang, Yidong Wang, Zhen Wu, Xing Xie, Linyi Yang, et al. p3938-3961 from Advances in Neural Information Processing Systems 35
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  • USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset

    Henghui Bao, Peixu Cai, Laurent Itti, Kiran Lekkala, Wei Lim, Chen Liu p54734-54747 from Advances in Neural Information Processing Systems 37
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  • Use perturbations when learning from explanations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Use perturbations when learning from explanations

    Juyeon Heo, Vihari Piratla, Adrian Weller, Matthew Wicker p26872-26897 from Advances in Neural Information Processing Systems 36
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  • Use-Case-Grounded Simulations for Explanation Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Use-Case-Grounded Simulations for Explanation Evaluation

    Valerie Chen, Nari Johnson, Gregory Plumb, Ameet Talwalkar, Nicholay Topin p1764-1775 from Advances in Neural Information Processing Systems 35
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  • User-Creator Feature Polarization in Recommender Systems with Dual Influence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    User-Creator Feature Polarization in Recommender Systems with Dual Influence

    Yiling Chen, Andrew Estornell, Kun Jin, Tao Lin, Yang Liu, Xiaoying Zhang p125663-125701 from Advances in Neural Information Processing Systems 37
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  • User-item fairness tradeoffs in recommendations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    User-item fairness tradeoffs in recommendations

    Sudalakshmee Chiniah, Nikhil Garg, Sophie Greenwood p114236-114288 from Advances in Neural Information Processing Systems 37
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  • User-Level Differential Privacy With Few Examples Per User

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    User-Level Differential Privacy With Few Examples Per User

    Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Raghu Meka, Chiyuan Zhang p19263-19290 from Advances in Neural Information Processing Systems 36
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  • Using Embeddings for Causal Estimation of Peer Influence in Social Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Using Embeddings for Causal Estimation of Peer Influence in Social Networks

    Irina Cristali, Victor Veitch p15616-15628 from Advances in Neural Information Processing Systems 35
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  • Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models

    Naoki Egami, Musashi Hinck, Brandon Stewart, Hanying Wei p68589-68601 from Advances in Neural Information Processing Systems 36
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  • Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-Of-Distribution Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-Of-Distribution Robustness

    Puneet Dokania, Ser Nam Lim, Francesco Pinto, Philip Torr, Harry Yang p14608-14622 from Advances in Neural Information Processing Systems 35
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  • Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines

    Jonathan D Cohen, Carlos G. Correa, Ishita Dasgupta, Nathaniel Daw, Tom Griffiths, Robert Hawkins, Michael Y Hu, Sreejan Kumar, Raja Marjieh, Karthik Narasimhan p167-180 from Advances in Neural Information Processing Systems 35
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  • Using Noise to Infer Aspects of Simplicity Without Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Using Noise to Infer Aspects of Simplicity Without Learning

    Zachery Boner, Harry Chen, Ronald Parr, Cynthia Rudin, Lesia Semenova p131824-131858 from Advances in Neural Information Processing Systems 37
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  • Using Partial Monotonicity in Submodular Maximization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Using Partial Monotonicity in Submodular Maximization

    Moran Feldman, Loay Mualem p2723-2736 from Advances in Neural Information Processing Systems 35
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  • Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes

    Lei Shi, Jingshen Wang, Waverly Wei p71085-71121 from Advances in Neural Information Processing Systems 37
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  • Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs

    Franziska Heeg, Ingo Scholtes p30149-30178 from Advances in Neural Information Processing Systems 37
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  • Using Unity to Help Solve Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Using Unity to Help Solve Reinforcement Learning

    Connor Brennan, Irina Rish, Vedant Vyas, Andrew Williams, Daria Yasafova, Omar Younis p2484-2506 from Advances in Neural Information Processing Systems 37
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  • Utilitarian Algorithm Configuration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Utilitarian Algorithm Configuration

    Devon Graham, Kevin Leyton-Brown, Tim Roughgarden p68939-68950 from Advances in Neural Information Processing Systems 36
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  • Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary

    Zhuoyan Li, Ming Yin p5025-5047 from Advances in Neural Information Processing Systems 37
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  • Utilizing Image Transforms and Diffusion Models for  Generative Modeling of Short and Long Time Series

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series

    Idan Arbiv, Omri Azencot, Nimrod Berman, Gal Fadlon, Ilan Naiman, Itai Pemper p121699-121730 from Advances in Neural Information Processing Systems 37
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