David Pinto

Artificial Intelligence · with Croft · 2003–2014

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom David Pinto trusts overall

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

  1. Robert Malouf
  2. Andrew McCallum
  3. Fernando C Pereira
  4. Fei Sha
  5. John D. Lafferty
  6. Richard H. Byrd
  7. Lawrence R. Rabiner
  8. Jorge Nocedal
  9. Dayne Freitag
  10. George A. Miller

Who trusts David Pinto overall

  1. Hanna M. Wallach
  2. Trevor Cohn
  3. Faezeh Ensan
  4. Veselin Raychev
  5. Taku Kudo
  6. Nhan Cach Dang
  7. Brian Roark
  8. Phil Blunsom
  9. Ebrahim Bagheri
  10. Percy Liang

Papers from David Pinto's perspective

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

  1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. A tutorial on hidden Markov models and selected applications in speech recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. WordNet: A Lexical Database for English
  10. Shallow Parsing with Conditional Random Fields

Their papers