Mike D. Mintz

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 92 researchers here, as inferred from the citation graph.

Subfields

Whom Mike D. Mintz trusts overall

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

  1. Dekang Lin
  2. Rion Snow
  3. Marti A. Hearst
  4. Guodong Zhou
  5. Ellen Riloff
  6. Razvan C. Bunescu
  7. Eugene Agichtein
  8. Mark W. Craven
  9. Fei Wu
  10. Deepak Ravichandran

Who trusts Mike D. Mintz overall

  1. Xu Han
  2. Yankai Lin
  3. Andrew McCallum
  4. Zhiyuan Liu
  5. Sebastian Riedel
  6. Christopher R'e
  7. Zhiquan Ye
  8. Arvind Neelakantan
  9. Tianyu Gao
  10. Rajarshi Das

Papers from Mike D. Mintz's perspective

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

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

Their papers