Thomas J. Walsh

Artificial Intelligence · 2000–2022

A researcher in the Science corpus: 21 papers; trusts 62 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas J. Walsh trusts overall

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

  1. Michael L. Littman
  2. Alexander L. Strehl
  3. Lihong Li
  4. Richard S. Sutton
  5. Martin L. Puterman
  6. Michael Kearns
  7. Leslie Pack Kaelbling
  8. Ronen I. Brafman
  9. Satinder Singh
  10. Andrew Barto

Who trusts Thomas J. Walsh overall

  1. Lihong Li
  2. David Abel
  3. Michael L. Littman
  4. François Margot
  5. Nan Jiang
  6. Kirthevasan Kandasamy
  7. Aijun Bai
  8. S. Mgaiwa
  9. Mark Cutler
  10. Sergey Levine

Papers from Thomas J. Walsh's perspective

Ordered by how strongly the researchers Thomas J. Walsh 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. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers