Adam S. Miner

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Adam S. Miner trusts overall

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

  1. Kaiming He
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Jacob Devlin
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Ashish Vaswani
  9. Yann LeCun
  10. X. Zhang

Who trusts Adam S. Miner overall

  1. Ashish Sharma
  2. Inna Wanyin Lin
  3. Caleb Ziems
  4. Lorainne Tudor Car
  5. Timothy W. Bickmore
  6. Endang Wahyu Pamungkas

Papers from Adam S. Miner's perspective

Ordered by how strongly the researchers Adam S. Miner 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers