Hammond A. Pearce

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 7 papers; trusts 44 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hammond A. Pearce trusts overall

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

  1. Alec Radford
  2. Martin Sundermeyer
  3. Nan Jiang
  4. Jacob Devlin
  5. Rolf Drechsler
  6. Ashish Vaswani
  7. Ian G. Harris
  8. Pengfei Liu
  9. Yoshua Bengio
  10. Geoffrey E. Hinton

Who trusts Hammond A. Pearce overall

  1. Siddharth Garg
  2. Ramesh Karri
  3. Baleegh Ahmad
  4. Gustavo Sandoval
  5. Juho Leinonen
  6. Zhiruo Wang
  7. Ma Jin
  8. Brendan Dolan-Gavitt
  9. Benjamin Tan
  10. James Prather

Papers from Hammond A. Pearce's perspective

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

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

Their papers