Andy Tang

Artificial Intelligence · 2010–2022

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andy Tang trusts overall

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

  1. Rajeev Agrawal
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alec Radford
  5. Tze Leung Lai

Papers from Andy Tang's perspective

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

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

Their papers