Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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 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-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 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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  • ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction

    Renze Chen, Zhuofeng Wang, Beiquan Cao, Tong Wu, Size Zheng, Xiuhong Li, Xuechao Wei, Shengen Yan, Meng Li, Yun Liang p113134-113155 from Advances in Neural Information Processing Systems 37
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  • AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

    Louis Serrano, Thomas X Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari p13489-13521 from Advances in Neural Information Processing Systems 37
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  • ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users

    Guanlin Li, Kangjie Chen, Shudong Zhang, Jie Zhang, Tianwei Zhang p91184-91219 from Advances in Neural Information Processing Systems 37
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  • Artemis: Towards Referential Understanding in Complex Videos

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Artemis: Towards Referential Understanding in Complex Videos

    Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, David Doermann, Qixiang Ye, Yunjie Tian p114321-114347 from Advances in Neural Information Processing Systems 37
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  • ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections

    Chun-Han Yao, Amit Raj, Wei-Chih Hung, Michael Rubinstein, Yuanzhen Li, Ming-Hsuan Yang, Varun Jampani p48173-48184 from Advances in Neural Information Processing Systems 36
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  • Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis

    Jianning Deng, Kartic Subr, Hakan Bilen p119717-119741 from Advances in Neural Information Processing Systems 37
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  • Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning

    Jonathan Cook, Chris Lu, Edward Hughes, Joel Leibo, Jakob Foerster p59689-59715 from Advances in Neural Information Processing Systems 37
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  • ARTree: A Deep Autoregressive Model for Phylogenetic Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ARTree: A Deep Autoregressive Model for Phylogenetic Inference

    Tianyu Xie, Cheng Zhang p14427-14444 from Advances in Neural Information Processing Systems 36
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  • AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation

    Anil Kag, Huseyin Coskun, Jierun Chen, Junli Cao, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Jian Ren p65119-65153 from Advances in Neural Information Processing Systems 37
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  • AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction

    Chu'Nan Liu, Lilian Denzler, Yihong Chen, Andrew Martin, Brooks Paige p11700-11734 from Advances in Neural Information Processing Systems 37
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