Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation

    Xinghao Chen, Xiaowen Ma, Zhenliang Ni p93690-93713 from Advances in Neural Information Processing Systems 37
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  • SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening

    Zihan Cao, Liang-Jian Deng, Hong-Xia Dou, Xiao Wu, Yu Zhong p77962-77986 from Advances in Neural Information Processing Systems 37
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  • SSDM: Scalable Speech Dysfluency Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SSDM: Scalable Speech Dysfluency Modeling

    Gopala Anumanchipalli, David Baquirin, Zoe Ezzes, Jiachen Lian, Zachary Miller, Brittany Morin, Maria Tempini, Jet Vonk, Xuanru Zhou p101818-101855 from Advances in Neural Information Processing Systems 37
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  • SSL4EO-L: Datasets and Foundation Models for Landsat Imagery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SSL4EO-L: Datasets and Foundation Models for Landsat Imagery

    Nassim Ait Ait Ali Braham, Arindam Banerjee, Yi-Chia Chang, Isaac Corley, Nils Lehmann, Caleb Robinson, Shradha Sehgal, Adam Stewart, Yi Wang p59787-59807 from Advances in Neural Information Processing Systems 36
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  • ST$_k$: A Scalable Module for Solving Top-k Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ST$_k$: A Scalable Module for Solving Top-k Problems

    Weidong Liu, Xiaojun Mao, Hanchen Xia p16752-16771 from Advances in Neural Information Processing Systems 37
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  • ST-Adapter: Parameter-Efficient Image-To-Video Transfer Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ST-Adapter: Parameter-Efficient Image-To-Video Transfer Learning

    Hongsheng Li, Ziyi Lin, Junting Pan, Jing Shao, Xiatian Zhu p26462-26477 from Advances in Neural Information Processing Systems 35
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  • Stability Analysis and Generalization Bounds of Adversarial Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stability Analysis and Generalization Bounds of Adversarial Training

    Yanbo Fan, Zhi-Quan Luo, Ruoyu Sun, Jue Wang, Jiancong Xiao p15446-15459 from Advances in Neural Information Processing Systems 35
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  • Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics

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    Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics

    Sarah Cechnicka, Bernhard Kainz, Liu Li, Cheng Ouyang, Chengqi Zang, Weitong Zhang p81606-81644 from Advances in Neural Information Processing Systems 37
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  • Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks

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    Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks

    Rong Jin, Yunwen Lei, Yiming Ying p38557-38570 from Advances in Neural Information Processing Systems 35
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  • Stability and Generalization for Markov Chain Stochastic Gradient Methods

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    Stability and Generalization for Markov Chain Stochastic Gradient Methods

    Yunwen Lei, Puyu Wang, Yiming Ying, Ding-Xuan Zhou p37735-37748 from Advances in Neural Information Processing Systems 35
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  • Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation

    Raman Arora, Yunjuan Wang, Kaibo Zhang p16160-16193 from Advances in Neural Information Processing Systems 37
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  • Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness

    Xiaoge Deng, Dongsheng Li, Shengwei Li, Xicheng Lu, Tao Sun p7675-7713 from Advances in Neural Information Processing Systems 37
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  • Stability and Generalization of Kernel Clustering: From Single Kernel to Multiple Kernel

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stability and Generalization of Kernel Clustering: From Single Kernel to Multiple Kernel

    Jun-Jie Huang, Weixuan Liang, Yong Liu, Jiyuan Liu, Xinwang Liu, Siwei Wang, Yi Zhang, Sihang Zhou, En Zhu p33633-33645 from Advances in Neural Information Processing Systems 35
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  • Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm

    Bo Du, Li Shen, Dacheng Tao, Miaoxi Zhu p31717-31751 from Advances in Neural Information Processing Systems 36
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  • Stability Guarantees for Feature Attributions with Multiplicative Smoothing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stability Guarantees for Feature Attributions with Multiplicative Smoothing

    Rajeev Alur, Eric Wong, Anton Xue p62388-62413 from Advances in Neural Information Processing Systems 36
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  • Stability of Random Forests and Coverage of Random-Forest Prediction Intervals

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stability of Random Forests and Coverage of Random-Forest Prediction Intervals

    Dan Nettleton, Yan Wang, Huaiqing Wu p31558-31569 from Advances in Neural Information Processing Systems 36
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  • Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds

    Junya Honda, Shinji Ito, Taira Tsuchiya p47406-47437 from Advances in Neural Information Processing Systems 36
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  • Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective

    Lidong Bing, Bocheng Li, Xin Li, Linli Xu, Hang Zhang, Yongxin Zhu p28636-28661 from Advances in Neural Information Processing Systems 37
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  • Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints

    Niklas Boers, Maximilian Gelbrecht, Niki Kilbertus, Alistair White p12929-12950 from Advances in Neural Information Processing Systems 36
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  • Stabilized Proximal-Point Methods for Federated Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stabilized Proximal-Point Methods for Federated Optimization

    Xiaowen Jiang, Anton Rodomanov, Sebastian Stich p99735-99772 from Advances in Neural Information Processing Systems 37
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  • Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling

    James Holt, Fred Lu, Edward Raff, Skyler Wu p32421-32475 from Advances in Neural Information Processing Systems 37
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  • Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks

    Zijian Gao, Xinjun Mao, Huaimin Wang, Kele Xu, Xingxing Zhang p128462-128488 from Advances in Neural Information Processing Systems 37
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  • Stable and low-precision training for large-scale vision-language models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stable and low-precision training for large-scale vision-language models

    Tim Dettmers, Ali Farhadi, Ari Morcos, Ludwig Schmidt, Mitchell Wortsman, Luke Zettlemoyer p10271-10298 from Advances in Neural Information Processing Systems 36
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  • Stable Bias: Evaluating Societal Representations in Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stable Bias: Evaluating Societal Representations in Diffusion Models

    Christopher Akiki, Yacine Jernite, Sasha Luccioni, Margaret Mitchell p56338-56351 from Advances in Neural Information Processing Systems 36
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