Daxin Tan

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daxin Tan trusts overall

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

  1. Jungil Kong
  2. Diederik P. Kingma
  3. Jonathan Shen
  4. Jaehyeon Kim
  5. Chengzhu Yu
  6. Jean-Marc Valin
  7. Eric Moulines
  8. Alan Bundy
  9. Jimmy Ba
  10. Geoffrey E. Hinton

Who trusts Daxin Tan overall

  1. Zhijun Liu
  2. Zalán Borsos
  3. Ziyue Jiang
  4. Yiwei Guo
  5. Matthew Sharifi

Papers from Daxin Tan's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. WaveNet: A Generative Model for Raw Audio
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers