Ziv Goldfeld

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ziv Goldfeld trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Naftali Tishby
  2. Rémi Bardenet
  3. Yann LeCun
  4. Ravid Shwartz-Ziv
  5. Yoshua Bengio
  6. Daniel J. Hsu
  7. Jiantao Jiao
  8. Geoffrey E. Hinton
  9. L. Eon Bottou
  10. Moustapha Cissé

Who trusts Ziv Goldfeld overall

  1. Fatemehsadat Mireshghallah
  2. Xiaowei Huang
  3. Rana Ali Amjad
  4. Mohammadkazem Taram

Papers from Ziv Goldfeld's perspective

Ordered by how strongly the researchers Ziv Goldfeld trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers