Jim Kleban

Information Systems · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jim Kleban trusts overall

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

  1. J. Langford
  2. Paul Holland
  3. Lihong Li
  4. Diane Lambert
  5. Olivier Chapelle
  6. Wei Chu
  7. David Chan
  8. Alexander L. Strehl
  9. Daryl Pregibon
  10. Stephen E. Robertson

Who trusts Jim Kleban overall

  1. Susan Athey
  2. Adith Swaminathan
  3. Thorsten Joachims

Papers from Jim Kleban's perspective

Ordered by how strongly the researchers Jim Kleban 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Reinforcement Learning: An Introduction
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Learning to rank using gradient descent
  10. Cumulated gain-based evaluation of IR techniques

Their papers