Tanik Saikh

2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Tanik Saikh trusts overall

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

  1. J. Fleiss
  2. Adina Williams
  3. Qian Chen
  4. Guokun Lai
  5. Colin Raffel
  6. Chin-Yew Lin
  7. Nikita Nangia
  8. Noam Shazeer
  9. Samuel R. Bowman
  10. Geoffrey E. Hinton

Papers from Tanik Saikh's perspective

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

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

Their papers