Nick Obradovich

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 7 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nick Obradovich trusts overall

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

  1. Yoon Kim
  2. Sepp Hochreiter
  3. Geoffrey E. Hinton
  4. Tomas Mikolov
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Yann LeCun
  9. J. Urgen Schmidhuber
  10. Alex Krizhevsky

Who trusts Nick Obradovich overall

  1. Zhiting Hu
  2. Mohit Iyyer

Papers from Nick Obradovich's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers