Michael Nirschl

Artificial Intelligence · 2004–2019

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Nirschl trusts overall

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

  1. F. Dolan
  2. Alex Graves
  3. H. Osborn
  4. Nitish Srivastava
  5. Yoshua Bengio
  6. Tomas Mikolov
  7. Hank Liao
  8. Geoffrey E. Hinton
  9. G. Arutyunov
  10. Hasim Sak

Who trusts Michael Nirschl overall

  1. F. Dolan
  2. Christopher Beem
  3. L. Rastelli
  4. Madalena Lemos
  5. L. Gallot
  6. S. Caron-Huot
  7. P. Liendo
  8. E. Sokatchev
  9. Filip Kos
  10. A. Vichi

Papers from Michael Nirschl's perspective

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

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

Their papers