Daniel Martin Katz

Artificial Intelligence · 2016–2024

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Martin Katz trusts overall

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

  1. Niko Speybroeck
  2. Trevor J. Hastie
  3. Shai Shalev-Shwartz
  4. Alec Radford
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Leo Breiman
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Gilles Louppe

Who trusts Daniel Martin Katz overall

  1. Lingjiao Chen
  2. Jiaming Ji
  3. Matei A. Zaharia

Papers from Daniel Martin Katz's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Language Models are Unsupervised Multitask Learners
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers