Erik T. Mueller

Artificial Intelligence · with Amir · 2002–2013

A researcher in the Science corpus: 5 papers; trusts 30 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Erik T. Mueller trusts overall

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

  1. John McCarthy
  2. Michael Collins
  3. Yoav Shoham
  4. Roger C. Schank
  5. Daniel Gildea
  6. Ernest Davis
  7. Enrico Giunchiglia
  8. Raymond Reiter
  9. Robert P. Abelson
  10. Dan Jurafsky

Who trusts Erik T. Mueller overall

  1. Michaela Regneri
  2. Nasrin Mostafazadeh
  3. Erik Cambria
  4. Mark O. Riedl
  5. Lea Frermann
  6. Mehdi Manshadi
  7. Manfred Pinkal
  8. Simon Ostermann
  9. Alexander Koller
  10. Seongho Choi

Papers from Erik T. Mueller's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers