Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting

    Jiahui Zhang, Zhengyang Zhou, Wenjie Du, Yang Wang p93680-93704 from Advances in Neural Information Processing Systems 38
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  • Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling

    Jiahao Wang, Weiye Xu, Aijun Yang, Wengang Zhou, Lewei Lu, Houqiang Li, Xiaohua Wang, Jinguo Zhu p146293-146327 from Advances in Neural Information Processing Systems 38
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  • Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective

    Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang p26467-26493 from Advances in Neural Information Processing Systems 38
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  • Enhancing Training Data Attribution with Representational Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Training Data Attribution with Representational Optimization

    Weiwei Sun, Haokun Liu, Nikhil Kandpal, Colin Raffel, Yiming Yang p113344-113381 from Advances in Neural Information Processing Systems 38
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  • Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns

    Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song p30821-30839 from Advances in Neural Information Processing Systems 36
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  • Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding

    Yixiong Fang, Ziran Yang, Zhaorun Chen, Zhuokai Zhao, Jiawei Zhou p165747-165772 from Advances in Neural Information Processing Systems 38
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  • Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection

    Yuli Wang, Jian Peng, Yuwei Dai, Craig Jones, Haris Sair, Jinglai Shen, Nicolas Loizou, Jing Wu, Wen-Chi Hsu, Maliha Imami, Zhicheng Jiao, Paul Zhang, Harrison Bai p99947-99964 from Advances in Neural Information Processing Systems 37
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  • Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation

    Shohei Enomoto p101185-101213 from Advances in Neural Information Processing Systems 38
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  • Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation

    Muqi Han, Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang p37416-37452 from Advances in Neural Information Processing Systems 38
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  • Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting

    Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang p2001-2025 from Advances in Neural Information Processing Systems 37
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  • Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

    Jiangjie Chen, Qianyu He, Siyu Yuan, Aili Chen, Zhicheng Cai, Weinan Dai, Hongli Yu, Jiaze Chen, Xuefeng Li, Qiying Yu, Hao Zhou, Mingxuan Wang p4037-4085 from Advances in Neural Information Processing Systems 38
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  • ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators

    Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano, Patrick Gallinari p141186-141254 from Advances in Neural Information Processing Systems 38
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  • EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature

    Yufei Guo, Weihang Peng, Xiaode Liu, Yuanpei Chen, Yuhan Zhang, Xin Tong, Zhou Jie, Zhe Ma p51708-51726 from Advances in Neural Information Processing Systems 37
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  • Enriching Disentanglement: From Logical Definitions to Quantitative Metrics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enriching Disentanglement: From Logical Definitions to Quantitative Metrics

    Yivan Zhang, Masashi Sugiyama p71900-71961 from Advances in Neural Information Processing Systems 37
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  • ENS-10: A Dataset for Post-Processing Ensemble Weather Forecasts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ENS-10: A Dataset for Post-Processing Ensemble Weather Forecasts

    Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler p21974-21987 from Advances in Neural Information Processing Systems 35
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  • Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

    Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Ting Liu, Bing Qin p119838-119860 from Advances in Neural Information Processing Systems 37
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  • Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

    Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong p8265-8277 from Advances in Neural Information Processing Systems 35
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  • Ensemble sampling for linear bandits: small ensembles suffice

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Ensemble sampling for linear bandits: small ensembles suffice

    David Janz, Alexander Litvak, Csaba Szepesvári p23679-23704 from Advances in Neural Information Processing Systems 37
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  • Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift

    Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang p53112-53125 from Advances in Neural Information Processing Systems 36
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  • EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models

    Shangquan Sun, Wenqi Ren, Zikun Liu, Hyunhee Park, Rui Wang, Xiaochun Cao p133487-133517 from Advances in Neural Information Processing Systems 37
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  • Entity Alignment with Noisy Annotations from Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Entity Alignment with Noisy Annotations from Large Language Models

    Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang p15097-15120 from Advances in Neural Information Processing Systems 37
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  • Entropic Neural Optimal Transport via Diffusion Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Entropic Neural Optimal Transport via Diffusion Processes

    Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry Vetrov, Evgeny Burnaev p75517-75544 from Advances in Neural Information Processing Systems 36
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  • Entropic Time Schedulers for Generative Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Entropic Time Schedulers for Generative Diffusion Models

    Dejan Stancevic, Florian Handke, Luca Ambrogioni p49443-49473 from Advances in Neural Information Processing Systems 38
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  • Entropy Rectifying Guidance for Diffusion and Flow Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Entropy Rectifying Guidance for Diffusion and Flow Models

    Tariq Berrada, Adriana Romero-Soriano, Michal Drozdzal, Jakob Verbeek, Karteek Alahari p51122-51141 from Advances in Neural Information Processing Systems 38
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