Marcus R. Gallagher

Artificial Intelligence · 1998–2021

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Marcus R. Gallagher trusts overall

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

  1. James R. Schott
  2. Geoffrey E. Hinton
  3. Tony A. Plate
  4. Yann LeCun
  5. David E. Rumelhart
  6. James L. McClelland
  7. Yoshua Bengio
  8. Mark W. Craven
  9. Nour Moustafa
  10. John A. Hertz

Who trusts Marcus R. Gallagher overall

  1. Sarvesh Vishwakarma
  2. Anupam Agrawal

Papers from Marcus R. Gallagher's perspective

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

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

Their papers