Showing 41 - 60 results of 149 for search ' Neural Information Processing Systems Foundation', query time: 0.11s Refine Results
  1. 41
    On invariance in hierarchical models

    On invariance in hierarchical models by Bouvrie, Jacob Vincent, Rosasco, Lorenzo Andrea, Poggio, Tomaso A.

    Published 2014
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  2. 42
    Learning manifolds with k-means and k-flats

    Learning manifolds with k-means and k-flats by Canas, Guillermo D., Poggio, Tomaso A., Rosasco, Lorenzo Andrea

    Published 2014
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  3. 43
    Learning invariant representations and applications to face verification

    Learning invariant representations and applications to face verification by Liao, Qianli, Leibo, Joel Z., Poggio, Tomaso A.

    Published 2014
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  4. 44
    Multiclass learning with simplex coding

    Multiclass learning with simplex coding by Mroueh, Youssef, Poggio, Tomaso A., Rosasco, Lorenzo Andrea, Slotine, Jean-Jacques E.

    Published 2014
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  5. 45
    Why the brain separates face recognition from object recognition

    Why the brain separates face recognition from object recognition by Leibo, Joel Z., Mutch, James Vincent, Poggio, Tomaso A.

    Published 2014
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  6. 46
    Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs

    Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs by Mansinghka, Vikash K., Kulkarni, Tejas Dattatraya, Perov, Yura N., Tenenbaum, Joshua B.

    Published 2015
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  7. 47
    Learning Gaussian Graphical Models with Observed or Latent FVSs

    Learning Gaussian Graphical Models with Observed or Latent FVSs by Liu, Ying, Willsky, Alan S.

    Published 2015
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  8. 48
    A Data-Driven Approach to Modeling Choice

    A Data-Driven Approach to Modeling Choice by Farias, Vivek F., Jagabathula, Srikanth, Shah, Devavrat

    Published 2015
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  9. 49
    Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream

    Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream by Yamins, Daniel L. K., Hong, Ha, Cadieu, Charles, DiCarlo, James

    Published 2015
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  10. 50
    Learning Deep Features for Scene Recognition using Places Database

    Learning Deep Features for Scene Recognition using Places Database by Zhou, Bolei, Lapedriza Garcia, Agata, Xiao, Jianxiong, Torralba, Antonio, Oliva, Aude

    Published 2015
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  11. 51
    Sensor Selection in High-Dimensional Gaussian Trees with Nuisances

    Sensor Selection in High-Dimensional Gaussian Trees with Nuisances by Levine, Daniel, How, Jonathan P.

    Published 2015
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  12. 52
    Dynamic clustering via asymptotics of the dependent Dirichlet process mixture

    Dynamic clustering via asymptotics of the dependent Dirichlet process mixture by Campbell, Trevor David, Liu, Miao, Kulis, Brian, How, Jonathan P., Carin, Lawrence

    Published 2015
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  13. 53
    Real-Time Decoding of an Integrate and Fire Encoder

    Real-Time Decoding of an Integrate and Fire Encoder by Saxena, Shreya, Dahleh, Munther A.

    Published 2015
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  14. 54
    Correlated uncertainty for learning dense correspondences from noisy labels

    Correlated uncertainty for learning dense correspondences from noisy labels by Neverova, N, Novotny, D, Vedaldi, A

    Published 2019
    “…Neural Information Processing Systems Foundation…”
    Conference item
  15. 55
    Looking beyond single images for contrastive semantic segmentation learning

    Looking beyond single images for contrastive semantic segmentation learning by Zhang, F, Torr, P, Ranftl, R, Richter, S

    Published 2021
    “…Neural Information Processing Systems Foundation…”
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  16. 56
    VIREL: A variational inference framework for reinforcement learning

    VIREL: A variational inference framework for reinforcement learning by Fellows, M, Mahajan, A, Rudner, T, Whiteson, S

    Published 2019
    “…Neural Information Processing Systems Foundation…”
    Conference item
  17. 57
    Learning to learn graph topologies

    Learning to learn graph topologies by Pu, X, Cao, T, Zhang, X, Dong, X, Chen, S

    Published 2021
    “…Neural Information Processing Systems Foundation…”
    Conference item
  18. 58
    Provably efficient offline reinforcement learning in regular decision processes

    Provably efficient offline reinforcement learning in regular decision processes by Cipollone, R, Jonsson, A, Ronca, A, Talebi, MS

    Published 2024
    “…Neural Information Processing Systems Foundation…”
    Conference item
  19. 59
    Emergence of movement sensitive neurons' properties by learning a sparse code for natural moving images

    Emergence of movement sensitive neurons' properties by learning a sparse code for natural moving images by Bogacz, R, Brown, M, Giraud-Carrier, C

    Published 2001
    “…Neural information processing systems foundation…”
    Conference item
  20. 60
    On the hardness of robust classification

    On the hardness of robust classification by Gourdeau, P, Kanade, V, Kwiatkowska, M, Worrell, J

    Published 2019
    “…Neural Information Processing Systems Foundation…”
    Conference item

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