Matthew Bolaños

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 49 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Bolaños trusts overall

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

  1. Charu C. Aggarwal
  2. Teuvo Kohonen
  3. Dirk Eddelbuettel
  4. Martin Ester
  5. Anil K. Jain
  6. João Gama
  7. Yixin Chen
  8. Feng Cao
  9. David Ruppert
  10. Jeffrey Scott Vitter

Who trusts Matthew Bolaños overall

  1. Michael Hahsler
  2. Sebastian Schmidl
  3. Tyler L. Hayes
  4. Ming Jin

Papers from Matthew Bolaños's perspective

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

Their papers