Zach Nussbaum

Artificial Intelligence · 2023–2025

A researcher in the Science corpus: 7 papers; trusts 112 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Zach Nussbaum trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Noam Shazeer
  6. Ilya Loshchilov
  7. Ilya Sutskever
  8. Kaiming He
  9. Yann LeCun
  10. Alex Graves

Who trusts Zach Nussbaum overall

  1. Hong-Liu Cao
  2. Hayden S. Helm
  3. Brandon Duderstadt
  4. Bowen Zhang
  5. Luke Merrick
  6. Hayato Tsukagoshi
  7. John X. Morris
  8. Baizhou Huang
  9. A. Chierici
  10. Yiming Li

Papers from Zach Nussbaum's perspective

Ordered by how strongly the researchers Zach Nussbaum 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers