Moshe Koppel

Artificial Intelligence · 2002–2011

A researcher in the Science corpus: 10 papers; trusts 10 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Moshe Koppel trusts overall

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

  1. Fabrizio Sebastiani
  2. Yiming Yang
  3. Shlomo Engelson Argamon
  4. Eric Bauer
  5. Andrew McCallum
  6. G. Tesauro
  7. James W. Pennebaker
  8. David Martinus Johannes Tax
  9. Olivier Y. de Vel
  10. Thorsten Joachims

Who trusts Moshe Koppel overall

  1. Shuly Wintner
  2. Dong Nguyen
  3. Yusu Qian
  4. Noam Ordan
  5. Ehud Alexander Avner
  6. Vered Volansky
  7. Dirk Hovy
  8. Markus Freitag
  9. Arjun Mukherjee
  10. John Cheney-Lippold

Papers from Moshe Koppel's perspective

Ordered by how strongly the researchers Moshe Koppel 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Reinforcement Learning: An Introduction
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers