Showing 21 - 40 results of 54 for search '"Conference on Neural Information Processing Systems"', query time: 0.12s Refine Results
  1. 21
    Escaping saddle points in constrained optimization

    Escaping saddle points in constrained optimization by Mokhtari, Aryan, Ozdaglar, Asuman E, Jadbabaie-Moghadam, Ali

    Published 2019
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    Article
  2. 22
    Practical data-dependent metric compression with provable guarantees

    Practical data-dependent metric compression with provable guarantees by Indyk, Piotr, Razenshteyn, Ilya, Wagner, Tal

    Published 2019
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    Article
  3. 23
    Categories and functional units: An infinite hierarchical model for brain activations

    Categories and functional units: An infinite hierarchical model for brain activations by Lashkari, Danial, Sridharan, Ramesh, Golland, Polina

    Published 2012
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    Article
  4. 24
    Learning with a Wasserstein loss

    Learning with a Wasserstein loss by Araya-Polo, Mauricio, Frogner, Charles Albert, Zhang, Chiyuan, Mobahi, Hossein, Poggio, Tomaso A

    Published 2017
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  5. 25
    Coresets for scalable Bayesian logistic regression

    Coresets for scalable Bayesian logistic regression by Huggins, Jonathan H., Campbell, Trevor David, Broderick, Tamara A

    Published 2021
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    Article
  6. 26
    Nonparametric Bayesian Texture Learning and Synthesis

    Nonparametric Bayesian Texture Learning and Synthesis by Zhu, Long, Chen, Yuanhao, Freeman, William T., Torralba, Antonio

    Published 2011
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  7. 27
    Functional geometry alignment and localization of brain areas

    Functional geometry alignment and localization of brain areas by Langs, Georg, Golland, Polina, Tie, Yanmei, Rigolo, Laura, Golby, Alexandra J.

    Published 2012
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    Article
  8. 28
    Rational neural networks

    Rational neural networks by Boullé, N, Nakatsukasa, Y, Townsend, A

    Published 2020
    Conference item
  9. 29
    Towards robust blind face restoration with codebook lookup transformer

    Towards robust blind face restoration with codebook lookup transformer by Zhou, Shangchen, Chan, Kelvin C. K., Li, Chongyi, Loy, Chen Change

    Published 2024
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    Conference Paper
  10. 30
    Variational Bayesian optimal experimental design

    Variational Bayesian optimal experimental design by Foster, A, Jankowiak, M, Bingham, E, Horsfall, P, Tee, YW, Rainforth, T, Goodman, N

    Published 2019
    Conference item
  11. 31
    SmooSeg: smoothness prior for unsupervised semantic segmentation

    SmooSeg: smoothness prior for unsupervised semantic segmentation by Lan, Mengcheng, Wang, Xinjiang, Ke, Yiping, Xu, Jiaxing, Feng, Litong, Zhang, Wayne

    Published 2024
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    Conference Paper
  12. 32
    Bayesian Delay Embeddings for Dynamical Systems

    Bayesian Delay Embeddings for Dynamical Systems by Dhir, N, Kosiorek, A, Posner, H

    Published 2017
    Conference item
  13. 33
    Continuous hierarchical representations with poincaré Variational Auto-Encoder

    Continuous hierarchical representations with poincaré Variational Auto-Encoder by Mathieu,E, Le Lan, C, Maddison, CJ, Tomioka, R, Teh, YW

    Published 2019
    Conference item
  14. 34
    Data-driven network neuroscience: on data collection and benchmark

    Data-driven network neuroscience: on data collection and benchmark by Xu, Jiaxing, Yang, Yunhan, Huang, David Tse Jung, Gururajapathy, Sophi Shilpa, Ke, Yiping, Qiao, Miao, Wang, Alan, Kumar, Haribalan, McGeown, Josh, Kwon, Eryn

    Published 2024
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    Conference Paper
  15. 35
    Random tessellation forests

    Random tessellation forests by Ge, S, Wang, S, Teh, YW, Wang, L, Elliott, LT

    Published 2019
    Conference item
  16. 36
    Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition

    Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition by Singh-Miller, Natasha, Collins, Michael

    Published 2010
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    Article
  17. 37
    Institutionalizing ethics in AI through broader impact requirements

    Institutionalizing ethics in AI through broader impact requirements by Prunkl, CEA, Ashurst, C, Anderljung, M, Leike, J, Webb, H, Dafoe, A

    Published 2021
    “…In 2020, the Conference on Neural Information Processing Systems (NeurIPS) introduced a requirement for submitting authors to include a statement on the broader societal impacts of their research. …”
    Journal article
  18. 38
    Continual unsupervised representation learning

    Continual unsupervised representation learning by Rao, D, Visin, F, Rusu, AA, Teh, YW, Pascanu, R, Hadsell, R

    Published 2019
    Conference item
  19. 39
    Probing the compositionality of intuitive functions

    Probing the compositionality of intuitive functions by Schulz, Eric, Duvenaud, David K., Speekenbrink, Maarten, Gershman, Samuel J., Tenenbaum, Joshua B

    Published 2017
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    Article
  20. 40
    Hybrid models for learning to branch

    Hybrid models for learning to branch by Gupta, P, Gasse, M, Khalil, EB, Mudigonda, P, Lodi, A, Bengio, Y

    Published 2020
    Conference item

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