Jeffrey P. Bigham

Artificial Intelligence · 2003–2022

A researcher in the Science corpus: 22 papers; trusts 204 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Jeffrey P. Bigham trusts overall

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

  1. Luis von Ahn
  2. Geoffrey E. Hinton
  3. Shaun K. Kane
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Christopher Evans
  7. Aniket Kittur
  8. Pei-Yun Hsueh
  9. Yoshua Bengio
  10. Alex Krizhevsky

Who trusts Jeffrey P. Bigham overall

  1. Peter D. Turney
  2. Kyungjun Lee
  3. Hernisa Kacorri
  4. Danna Gurari
  5. Erin L. Brady
  6. Adam Marcus
  7. Amanpreet Singh
  8. Chandrika Jayant
  9. Yu Zhong
  10. Michael S. Bernstein

Papers from Jeffrey P. Bigham's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers