Kelwin Fernandes

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Kelwin Fernandes trusts overall

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

  1. Gábor Szabó
  2. David Arnott
  3. David M. Blei
  4. Sasa Petrovic
  5. Roja Bandari
  6. Bernardo A. Huberman
  7. Andrew Y. Ng
  8. Matthew D. Zeiler
  9. Graham Peter Pervan
  10. Michael I. Jordan

Who trusts Kelwin Fernandes overall

  1. Matthias Schonlau
  2. Chun-Hao Kingsley Chang
  3. Thibault Laugel
  4. Kirthevasan Kandasamy
  5. Rosie Yuyan Zou
  6. Ladislav Rampášek
  7. Marie-Jeanne Lesot
  8. Willie Neiswanger

Papers from Kelwin Fernandes's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Visualizing and Understanding Convolutional Networks
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers