Tal Kachman

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 68 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tal Kachman trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Yann LeCun
  5. Ronald J. Williams
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. J. Urgen Schmidhuber
  9. Kaiming He
  10. Alex Graves

Who trusts Tal Kachman overall

  1. Fan Bao

Papers from Tal Kachman's perspective

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

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

Their papers