Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Synergy-Of-Experts: Collaborate to Improve Adversarial Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Synergy-Of-Experts: Collaborate to Improve Adversarial Robustness

    Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang p32552-32567 from Advances in Neural Information Processing Systems 35
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  • SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis

    Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James Yu p22961-22977 from Advances in Neural Information Processing Systems 36
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  • SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery

    Jian Song, Hongruixuan Chen, Weihao Xuan, Junshi Xia, Naoto Yokoya p117388-117425 from Advances in Neural Information Processing Systems 37
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  • Synthcity: a benchmark framework for diverse use cases of tabular synthetic data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Synthcity: a benchmark framework for diverse use cases of tabular synthetic data

    Zhaozhi Qian, Rob Davis, Mihaela Van Der Schaar p3173-3188 from Advances in Neural Information Processing Systems 36
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  • Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models

    Yeming Wen, Swarat Chaudhuri p59833-59858 from Advances in Neural Information Processing Systems 37
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  • Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions

    Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar p19195-19216 from Advances in Neural Information Processing Systems 36
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  • Synthetic Experience Replay

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Synthetic Experience Replay

    Cong Lu, Philip Ball, Yee Whye Teh, Jack Parker-Holder p46323-46344 from Advances in Neural Information Processing Systems 36
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  • Synthetic Model Combination: An Instance-Wise Approach to Unsupervised Ensemble Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Synthetic Model Combination: An Instance-Wise Approach to Unsupervised Ensemble Learning

    Alex Chan, Mihaela Van Der Schaar p27797-27809 from Advances in Neural Information Processing Systems 35
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  • Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages

    Federico Mora, Justin Wong, Haley Lepe, Sahil Bhatia, Karim Elmaaroufi, George Varghese, Joseph González, Elizabeth Polgreen, Sanjit Seshia p105151-105170 from Advances in Neural Information Processing Systems 37
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  • Synthetic-to-Real Pose Estimation with Geometric Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Synthetic-to-Real Pose Estimation with Geometric Reconstruction

    Qiuxia Lin, Kerui Gu, Linlin Yang, Angela Yao p53662-53673 from Advances in Neural Information Processing Systems 36
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  • Systematic Improvement of Neural Network Quantum States Using Lanczos

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Systematic Improvement of Neural Network Quantum States Using Lanczos

    Hongwei Chen, Douglas Hendry, Phillip Weinberg, Adrian Feiguin p7490-7503 from Advances in Neural Information Processing Systems 35
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  • Systematic Visual Reasoning through Object-Centric Relational Abstraction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Systematic Visual Reasoning through Object-Centric Relational Abstraction

    Taylor Webb, Shanka Subhra Mondal, Jonathan D Cohen p72030-72043 from Advances in Neural Information Processing Systems 36
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  • S^3-NeRF: Neural Reflectance Field from Shading and Shadow Under a Single Viewpoint

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S^3-NeRF: Neural Reflectance Field from Shading and Shadow Under a Single Viewpoint

    Wenqi Yang, Guanying Chen, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong p1568-1582 from Advances in Neural Information Processing Systems 35
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  • T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation

    Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu p78723-78747 from Advances in Neural Information Processing Systems 36
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  • T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization

    Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan p50020-50040 from Advances in Neural Information Processing Systems 36
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  • T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

    Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Wang p75692-75726 from Advances in Neural Information Processing Systems 37
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  • T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition

    Chen Yeh, You-Ming Chang, Wei-Chen Chiu, Ning Yu p112950-112961 from Advances in Neural Information Processing Systems 37
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  • T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

    Yibo Miao, Yifan Zhu, Lijia Yu, Jun Zhu, Xiao-Shan Gao, Yinpeng Dong p63858-63872 from Advances in Neural Information Processing Systems 37
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  • TA-GATES: An Encoding Scheme for Neural Network Architectures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TA-GATES: An Encoding Scheme for Neural Network Architectures

    Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang p32325-32339 from Advances in Neural Information Processing Systems 35
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  • TA-MoE: Topology-Aware Large Scale Mixture-Of-Expert Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TA-MoE: Topology-Aware Large Scale Mixture-Of-Expert Training

    Chang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang p22173-22186 from Advances in Neural Information Processing Systems 35
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  • TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models

    Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik p72094-72144 from Advances in Neural Information Processing Systems 37
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  • TableRAG: Million-Token Table Understanding with Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TableRAG: Million-Token Table Understanding with Language Models

    Si-An Chen, Lesly Miculicich, Julian Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister p74899-74921 from Advances in Neural Information Processing Systems 37
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  • TabMT: Generating tabular data with masked transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TabMT: Generating tabular data with masked transformers

    Manbir Gulati, Paul Roysdon p46245-46254 from Advances in Neural Information Processing Systems 36
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  • TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets

    Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V Le, Da Huang p11906-11917 from Advances in Neural Information Processing Systems 35
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