Matthew Matl

Control and Systems Engineering · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Matthew Matl trusts overall

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

  1. Jeffrey Mahler
  2. Edward Johns
  3. Jeannette Bohg
  4. Kaiming He
  5. Daniel Kappler
  6. Geoffrey E. Hinton
  7. Radu Bogdan Rusu
  8. Sergey Levine
  9. Alex Krizhevsky
  10. Abhinav Kumar Gupta

Who trusts Matthew Matl overall

  1. Andy Zeng
  2. Jeffrey Mahler
  3. Pratyusha Sharma
  4. Lucas Manuelli

Papers from Matthew Matl's perspective

Ordered by how strongly the researchers Matthew Matl 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers