Daniel Selsam

Artificial Intelligence · 2014–2023

A researcher in the Science corpus: 5 papers; trusts 28 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Selsam trusts overall

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

  1. Diederik P. Kingma
  2. Radford M. Neal
  3. Jimmy Ba
  4. Geoffrey E. Hinton
  5. Sepp Hochreiter
  6. David Wingate
  7. Yoshua Bengio
  8. Donald Ervin Knuth
  9. Max Welling
  10. Carl E. Rasmussen

Who trusts Daniel Selsam overall

  1. William L. Hamilton
  2. David Tolpin
  3. Jan-Willem van de Meent
  4. Yura N. Perov
  5. Yoshua Bengio
  6. Oyvind Tafjord
  7. Stanislas Polu
  8. Peter Clark
  9. Alexander J. Ratner
  10. Frank D. Wood

Papers from Daniel Selsam's perspective

Ordered by how strongly the researchers Daniel Selsam 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers