Michael Kelly

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Kelly trusts overall

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

  1. Stéphane Ross
  2. Jens Kober
  3. Craig Boutilier
  4. Sonia Chernova
  5. Jan Peters
  6. Marta Garnelo
  7. Manuela M. Veloso
  8. Drew Bagnell
  9. Bob Price
  10. Dean A. Pomerleau

Who trusts Michael Kelly overall

  1. Trevor Ablett
  2. Maryam Zare
  3. Ajay Mandlekar
  4. Eric Jang
  5. Filip Mari'c
  6. Parham Mohsenzadeh Kebria

Papers from Michael Kelly's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Reinforcement Learning: An Introduction
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Human-level control through deep reinforcement learning
  10. Learning Multiple Layers of Features from Tiny Images

Their papers