Sebastian Goodman

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 6 papers; trusts 380 researchers and is trusted by 1,200 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastian Goodman trusts overall

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

  1. Ilya Sutskever
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Oriol Vinyals
  8. Dzmitry Bahdanau
  9. Yann LeCun
  10. Ross B. Girshick

Who trusts Sebastian Goodman overall

  1. Soravit Changpinyo
  2. Zhe Gan
  3. Jianfeng Wang
  4. Mohit Bansal
  5. Xiaowei Hu
  6. Yen-Chun Chen
  7. Linjie Li
  8. Jiasen Lu
  9. Jianfeng Gao
  10. Zhengyuan Yang

Papers from Sebastian Goodman's perspective

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

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

Their papers