Jerry Tang

Cognitive Neuroscience · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jerry Tang trusts overall

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

  1. Roger Levy
  2. Charlotte Caucheteux
  3. Thomas Naselaris
  4. Jeffrey Pennington
  5. Gopala Krishna Anumanchipalli
  6. Alexander G. Huth
  7. Shinji Nishimoto
  8. Ari Holtzman
  9. Francis R. Willett
  10. Richard Socher

Papers from Jerry Tang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Attention is All you Need (Neural Information Processing Systems)
  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. Long Short-Term Memory
  6. GloVe: Global Vectors for Word Representation
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers