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, Bo Han, Jian Liang, Masashi Sugiyama, Changshui Zhang, Jingfeng 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

    Ying Wu, Yongchao Ye, James Yu, Xiangyu Zhao, Yuanshao Zhu 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

    Hongruixuan Chen, Jian Song, Junshi Xia, Weihao Xuan, 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

    Rob Davis, Zhaozhi Qian, 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

    Swarat Chaudhuri, Yeming Wen 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

    Philip Ball, Cong Lu, Jack Parker-Holder, Yee Whye Teh 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

    Sahil Bhatia, Karim Elmaaroufi, Joseph González, Haley Lepe, Federico Mora, Elizabeth Polgreen, Sanjit Seshia, George Varghese, Justin Wong 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

    Kerui Gu, Qiuxia Lin, 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, Adrian Feiguin, Douglas Hendry, Phillip Weinberg 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

    Jonathan D Cohen, Shanka Subhra Mondal, Taylor Webb 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

    Chaofeng Chen, Guanying Chen, Zhenfang Chen, Kwan-Yee K. Wong, Wenqi Yang 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, Zhenguo Li, Xihui Liu, Kaiyue Sun, Enze Xie 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

    Jinpei Guo, Yang Li, 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

    Sugato Basu, Wenhu Chen, Weixi Feng, Tsu-Jui Fu, Jiachen Li, William Wang, Xinyi 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

    You-Ming Chang, Wei-Chen Chiu, Chen Yeh, 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

    Yinpeng Dong, Xiao-Shan Gao, Yibo Miao, Lijia Yu, Jun Zhu, Yifan Zhu 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

    Yiping Deng, Shuang Liang, Xuefei Ning, Changcheng Tang, Yu Wang, Huazhong Yang, Junbo Zhao, Tianchen Zhao, Zixuan Zhou 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, Chao Yang, Dianhai Yu 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

    Mateja Jamnik, Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski 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, Yanfei Chen, Julian Eisenschlos, Yasuhisa Fujii, Chen-Yu Lee, Hsuan-Tien Lin, Lesly Miculicich, Tomas Pfister, Zifeng Wang, Zilong Wang 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

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