Thomas Kollar

Natural Language Processing · with Roy · 2008–2013

A researcher in the Science corpus: 9 papers; trusts 63 researchers and is trusted by 618 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Kollar trusts overall

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

  1. Sebastian Thrun
  2. Luke S. Zettlemoyer
  3. Raymond J. Mooney
  4. Nathan D. Ratliff
  5. Wolfram Burgard
  6. John J. Leonard
  7. Jayant Krishnamurthy
  8. J. Bagnell
  9. Dieter Fox
  10. Stefanie Tellex

Who trusts Thomas Kollar overall

  1. Stefanie Tellex
  2. Percy Liang
  3. Jayant Krishnamurthy
  4. Matthew R. Walter
  5. Yoav Artzi
  6. Dipendra Kumar Misra
  7. Sachithra Hemachandra
  8. Jesse Thomason
  9. Jacob Andreas
  10. Mateusz Malinowski

Papers from Thomas Kollar's perspective

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

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

Their papers