Torsten Scholak

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Torsten Scholak trusts overall

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

  1. Noam Shazeer
  2. Tao Yu
  3. Ohad Rubin
  4. Ruiqi Zhong
  5. Jonathan Berant
  6. Peter Shaw
  7. Colin Raffel
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Torsten Scholak overall

  1. Nitarshan Rajkumar
  2. Haoyang Li
  3. Xinyun Chen
  4. Tianbao Xie
  5. Ansong Ni
  6. Freda Shi
  7. Ruoxi Sun
  8. Linlu Qiu
  9. Zhoujun Cheng
  10. Jinyang Li

Papers from Torsten Scholak's perspective

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

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

Their papers