David Tolpin

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 5 papers; trusts 42 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom David Tolpin trusts overall

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

  1. Vikash K. Mansinghka
  2. Frank D. Wood
  3. Jan-Willem van de Meent
  4. Noah D. Goodman
  5. David Wingate
  6. Lingfeng Yang
  7. Brooks Paige
  8. Gareth O. Roberts
  9. Andreas Stuhlmüller
  10. Daniel Selsam

Who trusts David Tolpin overall

  1. Yura N. Perov
  2. Tom Rainforth
  3. Jan-Willem van de Meent
  4. Johannes Borgström
  5. Cheng Zhang
  6. Vikash K. Mansinghka
  7. Guillaume Baudart
  8. Lawrence M. Murray
  9. Dustin Tran
  10. Hongseok Yang

Papers from David Tolpin's perspective

Ordered by how strongly the researchers David Tolpin 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. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers