Search Results - Noy, Asaf

Refine Results
  1. 1
    Asymmetric Loss For Multi-Label Classification

    Asymmetric Loss For Multi-Label Classification by Ridnik, Tal, Ben-Baruch, Emanuel, Zamir, Nadav, Noy, Asaf, Friedman, Itamar, Protter, Matan, Zelnik-Manor, Lihi

    Request full text
    Items that cite this one
    Conference Proceeding
    Save to List
    Saved in:
  2. 2
    TResNet: High Performance GPU-Dedicated Architecture

    TResNet: High Performance GPU-Dedicated Architecture by Ridnik, Tal, Lawen, Hussam, Noy, Asaf, Ben, Emanuel, Sharir, Baruch Gilad, Friedman, Itamar

    Request full text
    Items that cite this one
    Conference Proceeding
    Save to List
    Saved in:
  3. 3
    ML-Decoder: Scalable and Versatile Classification Head

    ML-Decoder: Scalable and Versatile Classification Head by Ridnik, Tal, Sharir, Gilad, Ben-Cohen, Avi, Ben-Baruch, Emanuel, Noy, Asaf

    Request full text
    Items that cite this one
    Conference Proceeding
    Save to List
    Saved in:
  4. 4
    Diverse Imagenet Models Transfer Better

    Diverse Imagenet Models Transfer Better by Nayman, Niv, Golbert, Avram, Noy, Asaf, Zelnik-Manor, Lihi

    Request full text
    Conference Proceeding
    Save to List
    Saved in:
  5. 5
    PETA: Photo Albums Event Recognition using Transformers Attention

    PETA: Photo Albums Event Recognition using Transformers Attention by Glaser, Tamar, Ben-Baruch, Emanuel, Sharir, Gilad, Zamir, Nadav, Noy, Asaf, Zelnik-Manor, Lihi

    Request full text
    Conference Proceeding
    Save to List
    Saved in:
  6. 6
    An Image is Worth 16x16 Words, What is a Video Worth?

    An Image is Worth 16x16 Words, What is a Video Worth? by Sharir, Gilad, Noy, Asaf, Zelnik-Manor, Lihi

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network

    End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network by Gazneli, Avi, Zimerman, Gadi, Ridnik, Tal, Sharir, Gilad, Noy, Asaf

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results

    Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results by Ridnik, Tal, Lawen, Hussam, Ben-Baruch, Emanuel, Noy, Asaf

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    ImageNet-21K Pretraining for the Masses

    ImageNet-21K Pretraining for the Masses by Ridnik, Tal, Ben-Baruch, Emanuel, Noy, Asaf, Zelnik-Manor, Lihi

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search

    HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search by Nayman, Niv, Aflalo, Yonathan, Noy, Asaf, Zelnik-Manor, Lihi

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    BINAS: Bilinear Interpretable Neural Architecture Search

    BINAS: Bilinear Interpretable Neural Architecture Search by Nayman, Niv, Aflalo, Yonathan, Noy, Asaf, Jin, Rong, Zelnik-Manor, Lihi

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Diverse Imagenet Models Transfer Better

    Diverse Imagenet Models Transfer Better by Nayman, Niv, Golbert, Avram, Noy, Asaf, Tan, Ping, Zelnik-Manor, Lihi

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Knapsack Pruning with Inner Distillation

    Knapsack Pruning with Inner Distillation by Aflalo, Yonathan, Noy, Asaf, Lin, Ming, Friedman, Itamar, Zelnik, Lihi

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    ML-Decoder: Scalable and Versatile Classification Head

    ML-Decoder: Scalable and Versatile Classification Head by Ridnik, Tal, Sharir, Gilad, Ben-Cohen, Avi, Ben-Baruch, Emanuel, Noy, Asaf

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Asymmetric Loss For Multi-Label Classification

    Asymmetric Loss For Multi-Label Classification by Ben-Baruch, Emanuel, Ridnik, Tal, Zamir, Nadav, Noy, Asaf, Friedman, Itamar, Protter, Matan, Zelnik-Manor, Lihi

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks

    A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks by Noy, Asaf, Xu, Yi, Aflalo, Yonathan, Zelnik-Manor, Lihi, Jin, Rong

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Multi-label Classification with Partial Annotations using Class-aware Selective Loss

    Multi-label Classification with Partial Annotations using Class-aware Selective Loss by Ben-Baruch, Emanuel, Ridnik, Tal, Friedman, Itamar, Ben-Cohen, Avi, Zamir, Nadav, Noy, Asaf, Zelnik-Manor, Lihi

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    WeMix: How to Better Utilize Data Augmentation

    WeMix: How to Better Utilize Data Augmentation by Xu, Yi, Noy, Asaf, Lin, Ming, Qian, Qi, Li, Hao, Jin, Rong

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    TResNet: High Performance GPU-Dedicated Architecture

    TResNet: High Performance GPU-Dedicated Architecture by Ridnik, Tal, Lawen, Hussam, Noy, Asaf, Emanuel Ben Baruch, Sharir, Gilad, Friedman, Itamar

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    XNAS: Neural Architecture Search with Expert Advice

    XNAS: Neural Architecture Search with Expert Advice by Nayman, Niv, Noy, Asaf, Ridnik, Tal, Friedman, Itamar, Jin, Rong, Zelnik-Manor, Lihi

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: