Jeff Pasternack

Information Systems · 2010

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jeff Pasternack trusts overall

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

  1. Dan Roth
  2. Bin Yu
  3. Fei Wu
  4. Jordi Sabater-Mir
  5. Xiaoxin Yin
  6. Wen-tau Yih
  7. Daniel S. Weld
  8. Munindar P. Singh
  9. Carles Sierra
  10. Jon M. Kleinberg

Who trusts Jeff Pasternack overall

  1. Bo Zhao
  2. Yaliang Li
  3. Manish Gupta
  4. Dong Wang
  5. Qi Li
  6. Xin Luna Dong
  7. Jiawei Han
  8. Jing Gao
  9. Peixiang Zhao
  10. Benjamin I. P. Rubinstein

Papers from Jeff Pasternack's perspective

Ordered by how strongly the researchers Jeff Pasternack 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Authoritative sources in a hyperlinked environment

Their papers