Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Are GATs Out of Balance?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are GATs Out of Balance?

    Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz p11430-11453 from Advances in Neural Information Processing Systems 36
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  • Are Graph Neural Networks Optimal Approximation Algorithms?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Graph Neural Networks Optimal Approximation Algorithms?

    Morris Yau, Nikolaos Karalias, Eric Lu, Jessica Xu, Stefanie Jegelka p73124-73181 from Advances in Neural Information Processing Systems 37
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  • Are Greedy Task Orderings Better Than Random in Continual Linear Regression?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Greedy Task Orderings Better Than Random in Continual Linear Regression?

    Matan Tsipory, Ran Levinstein, Itay Evron, Mark Kong, Deanna Needell, Daniel Soudry p172355-172456 from Advances in Neural Information Processing Systems 38
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  • Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?

    Jiacheng Cen, Anyi Li, Ning Lin, Yuxiang Ren, Zihe Wang, Wenbing Huang p26238-26266 from Advances in Neural Information Processing Systems 37
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  • Are Language Models Actually Useful for Time Series Forecasting?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Language Models Actually Useful for Time Series Forecasting?

    Mingtian Tan, Mike Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen p60162-60191 from Advances in Neural Information Processing Systems 37
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  • Are Language Models Efficient Reasoners? A Perspective from Logic Programming

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Language Models Efficient Reasoners? A Perspective from Logic Programming

    Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami, Clemente Pasti, Mrinmaya Sachan, Abulhair Saparov, Ryan Cotterell, Bernhard Schölkopf p76261-76297 from Advances in Neural Information Processing Systems 38
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  • Are Large Language Models Good Statisticians?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Large Language Models Good Statisticians?

    Yizhang Zhu, Shiyin Du, Boyan Li, Yuyu Luo, Nan Tang p62697-62731 from Advances in Neural Information Processing Systems 37
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  • Are Large Language Models Sensitive to the Motives Behind Communication?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Large Language Models Sensitive to the Motives Behind Communication?

    Addison J. Wu, Ryan Liu, Kerem Oktar, Ted Sumers, Tom Griffiths p174057-174096 from Advances in Neural Information Processing Systems 38
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  • Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost

    Runzhe Zhan, Zhihong Huang, Xinyi Yang, Lidia Chao, Min Yang, Derek Wong p72274-72301 from Advances in Neural Information Processing Systems 38
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  • Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?

    Lingao Xiao, Yang He p16406-16437 from Advances in Neural Information Processing Systems 37
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  • Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems

    Lingjiao Chen, Jared Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou p45767-45790 from Advances in Neural Information Processing Systems 37
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  • Are Multiple Instance Learning Algorithms Learnable for Instances?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Multiple Instance Learning Algorithms Learnable for Instances?

    Jaeseok Jang, Hyuk-Yoon Kwon p10575-10612 from Advances in Neural Information Processing Systems 37
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  • Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology

    Dhananjay Tomar, Alexander Binder, Andreas Kleppe p43499-43532 from Advances in Neural Information Processing Systems 37
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  • Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?

    Tianyu Lin, Xinran Li, Chuntung Zhuang, Qi Chen, Yuanhao Cai, Kai Ding, Alan Yuille, Zongwei Zhou p37906-37952 from Advances in Neural Information Processing Systems 38
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  • Are Self-Attentions Effective for Time Series Forecasting?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Self-Attentions Effective for Time Series Forecasting?

    Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim p114180-114209 from Advances in Neural Information Processing Systems 37
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  • Are These the Same Apple? Comparing Images Based on Object Intrinsics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are These the Same Apple? Comparing Images Based on Object Intrinsics

    Klemen Kotar, Stephen Tian, Hong-Xing Yu, Dan Yamins, Jiajun Wu p40853-40871 from Advances in Neural Information Processing Systems 36
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  • Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks

    Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell p16548-16562 from Advances in Neural Information Processing Systems 35
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  • Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?

    Maohao Shen, J. Ryu, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory Wornell p107830-107864 from Advances in Neural Information Processing Systems 37
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  • Are Vision Transformers More Data Hungry Than Newborn Visual Systems?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Vision Transformers More Data Hungry Than Newborn Visual Systems?

    Lalit Pandey, Samantha Wood, Justin Wood p73104-73121 from Advances in Neural Information Processing Systems 36
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  • Are We on the Right Way for Evaluating Large Vision-Language Models?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are We on the Right Way for Evaluating Large Vision-Language Models?

    Lin Chen, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Jiaqi Wang, Yu Qiao, Dahua Lin, Feng Zhao p27056-27087 from Advances in Neural Information Processing Systems 37
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  • Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks

    Jiyang Guan, Jian Liang, Ran He p36571-36584 from Advances in Neural Information Processing Systems 35
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  • Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections

    Zihan Luo, Hong Huang, Yongkang Zhou, Jiping Zhang, Nuo Chen, Hai Jin p71568-71595 from Advances in Neural Information Processing Systems 37
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  • AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

    Wei Fu, Jiaxuan Gao, Xujie Shen, Chen Zhu, Zhiyu Mei, Chuyi He, Shusheng Xu, Guo Wei, Jun Mei, Jiashu Wang, Tongkai Yang, Binhang Yuan, YI WU p40748-40774 from Advances in Neural Information Processing Systems 38
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  • ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation

    Jiatong Shi, Yifan Cheng, Bo-Hao Su, Hye-jin Shim, Jinchuan Tian, Samuele Cornell, Yiwen Zhao, Siddhant Arora, Shinji Watanabe p99635-99680 from Advances in Neural Information Processing Systems 38
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