Spencer Poff

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 96 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Spencer Poff trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Jason Aaron Edward Weston
  5. Ilya Sutskever
  6. Emily Dinan
  7. Angela Fan
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Kaiming He

Who trusts Spencer Poff overall

  1. Jing Xu
  2. Kurt Shuster
  3. Chujie Zheng
  4. Akari Asai
  5. Ziwei Xu
  6. Ziwei Ji
  7. Nouha Dziri
  8. Wayne Xin Zhao
  9. Leonard Adolphs

Papers from Spencer Poff's perspective

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

Their papers