Paper

  • Evolving Connectivity for Recurrent Spiking Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Evolving Connectivity for Recurrent Spiking Neural Networks

    Guan Wang, Yuhao Sun, Sijie Cheng, Sen Song p2991-3007 from Advances in Neural Information Processing Systems 36
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  • Evolving Standardization for Continual Domain Generalization over Temporal Drift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Evolving Standardization for Continual Domain Generalization over Temporal Drift

    Mixue Xie, Shuang Li, Longhui Yuan, Chi Liu, Zehui Dai p21983-22002 from Advances in Neural Information Processing Systems 36
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  • EvoPrompting: Language Models for Code-Level Neural Architecture Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    EvoPrompting: Language Models for Code-Level Neural Architecture Search

    Angelica Chen, David Dohan, David So p7787-7817 from Advances in Neural Information Processing Systems 36
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  • Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems

    Giung Nam, Juho Lee p133443-133463 from Advances in Neural Information Processing Systems 37
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  • Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach

    Fabian Zaiser, Andrzej Murawski, Chih-Hao Luke Ong p2427-2462 from Advances in Neural Information Processing Systems 36
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  • Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models

    Waïss Azizian, Franck Iutzeler, Jérôme Malick p14584-14596 from Advances in Neural Information Processing Systems 36
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  • Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals

    Christian Holberg, Cristopher Salvi p31907-31939 from Advances in Neural Information Processing Systems 37
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  • Exact Learning Dynamics of Deep Linear Networks with Prior Knowledge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exact Learning Dynamics of Deep Linear Networks with Prior Knowledge

    Lukas Braun, Clémentine Dominé, James Fitzgerald, Andrew Saxe p6615-6629 from Advances in Neural Information Processing Systems 35
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  • Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation

    Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, Albert No p37761-37785 from Advances in Neural Information Processing Systems 36
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  • Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model

    Maximilien Dreveton, Felipe Fernandes, Daniel Figueiredo p37827-37848 from Advances in Neural Information Processing Systems 36
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  • Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings

    Sudhanshu Chanpuriya, Ryan Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco p21023-21038 from Advances in Neural Information Processing Systems 36
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  • Exact Shape Correspondence Via 2D Graph Convolution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exact Shape Correspondence Via 2D Graph Convolution

    Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, Ma Kaili, Bo Han, Bo Li, James Cheng p18072-18087 from Advances in Neural Information Processing Systems 35
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