Tshephisho Joseph Sefara

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tshephisho Joseph Sefara trusts overall

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

  1. Tomas Mikolov
  2. Sosuke Kobayashi
  3. Yann LeCun
  4. Ilya Sutskever
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Junbo Jake Zhao
  8. Jeffrey Pennington
  9. Rico Sennrich
  10. Jacob Devlin

Papers from Tshephisho Joseph Sefara's perspective

Ordered by how strongly the researchers Tshephisho Joseph Sefara 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers