Thomas W. Reps

Artificial Intelligence · 2004–2017

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas W. Reps trusts overall

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

  1. Thomas Ball
  2. Manuvir Das
  3. Sriram K. Rajamani
  4. Gogul Balakrishnan
  5. Veselin Raychev
  6. Sumit Gulwani
  7. Michael M. Swift
  8. Andy Chou
  9. Diederik P. Kingma
  10. Dawson R. Engler

Who trusts Thomas W. Reps overall

  1. Gogul Balakrishnan
  2. Patrice Godefroid
  3. Sang Kil Cha
  4. Michael Pradel
  5. David Brumley
  6. Dawn Song
  7. Thanassis Avgerinos

Papers from Thomas W. Reps's perspective

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

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

Their papers