Seid Muhie Yimam

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Seid Muhie Yimam trusts overall

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

  1. Martin J. Eppler
  2. Andreas Holzinger
  3. Diederik P. Kingma
  4. Jing Qian
  5. Geoffrey E. Hinton
  6. Binny Mathew
  7. Iryna Gurevych
  8. Jimmy Ba
  9. Yoshua Bengio
  10. Tomoko Ohta

Who trusts Seid Muhie Yimam overall

  1. Amir Zeldes
  2. Jie Yang
  3. Andreas Holzinger
  4. Chris Biemann
  5. Jan Wira Gotama Putra
  6. Rachel Rudinger
  7. Yue Zhang
  8. Simone Teufel
  9. Xingxuan Li

Papers from Seid Muhie Yimam's perspective

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

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

Their papers