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Conference

Does a sparse ReLU network training problem always admit an optimum?

Subjects: Topology; Best Approximation Property; Sparse ReLU Neural NetworkNew Orleans (Lousiane); United States

  • Source: NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04108849 ; NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing

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Conference

Does a sparse ReLU network training problem always admit an optimum?

Subjects: Topology; Best Approximation Property; Sparse ReLU Neural NetworkNew Orleans (Lousiane); United States

  • Source: NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04108849 ; NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing

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Conference

Does a sparse ReLU network training problem always admit an optimum?

Subjects: Topology; Best Approximation Property; Sparse ReLU Neural NetworkNew Orleans (Lousiane); United States

  • Source: NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04108849 ; NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing

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Conference

Does a sparse ReLU network training problem always admit an optimum?

Subjects: Topology; Best Approximation Property; Sparse ReLU Neural NetworkNew Orleans (Lousiane); United States

  • Source: Thirty-seventh Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04108849 ; Thirty-seventh Conference on Neural Information Processing Systems, Dec 2023, New Orleans

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Conference

Does a sparse ReLU network training problem always admit an optimum?

Subjects: Topology; Best Approximation Property; Sparse ReLU Neural NetworkNew Orleans (Lousiane); United States

  • Source: NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04108849 ; NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing

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Conference

Does a sparse ReLU network training problem always admit an optimum?

Subjects: Topology; Best Approximation Property; Sparse ReLU Neural NetworkNew Orleans (Lousiane); United States

  • Source: Thirty-seventh Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04108849 ; Thirty-seventh Conference on Neural Information Processing Systems, Dec 2023, New Orleans

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Conference

Does a sparse ReLU network training problem always admit an optimum?

Subjects: Topology; Best Approximation Property; Sparse ReLU Neural NetworkNew Orleans (Lousiane); United States

  • Source: Thirty-seventh Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04108849 ; Thirty-seventh Conference on Neural Information Processing Systems, Dec 2023, New Orleans

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Conference

Does a sparse ReLU network training problem always admit an optimum?

Subjects: Topology; Best Approximation Property; Sparse ReLU Neural NetworkNew Orleans (Lousiane); United States

  • Source: NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04108849 ; NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing

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Conference

Does a sparse ReLU network training problem always admit an optimum?

Subjects: Topology; Best Approximation Property; Sparse ReLU Neural NetworkNew Orleans (Lousiane); United States

  • Source: NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04108849 ; NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing

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Conference

Does a sparse ReLU network training problem always admit an optimum?

Subjects: Topology; Best Approximation Property; Sparse ReLU Neural NetworkNew Orleans (Lousiane); United States

  • Source: Thirty-seventh Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04108849 ; Thirty-seventh Conference on Neural Information Processing Systems, Dec 2023, New Orleans

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  • 1-10 of  16 results for ""Best Approximation Property""