Ting-Hao 'Kenneth' Huang

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ting-Hao 'Kenneth' Huang trusts overall

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

  1. Geoffrey E. Hinton
  2. Jacob Devlin
  3. Diederik P. Kingma
  4. Christopher D. Manning
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Kaiming He
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Ting-Hao 'Kenneth' Huang overall

  1. Jing Yu Koh
  2. Rowan Zellers
  3. Ishan Misra
  4. Nasrin Mostafazadeh
  5. Bryan A. Plummer
  6. Varun Prashant Gangal
  7. Bo Li
  8. Ruslan Salakhutdinov
  9. Daniel Fried
  10. Lu Jiang

Papers from Ting-Hao 'Kenneth' Huang's perspective

Ordered by how strongly the researchers Ting-Hao 'Kenneth' Huang trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers