Abir De

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abir De trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Jure Leskovec
  4. Alex Krizhevsky
  5. Thomas Kipf
  6. Max Welling
  7. Yoshua Bengio
  8. Ronald J. Williams
  9. Ilya Sutskever
  10. Jimmy Ba

Who trusts Abir De overall

  1. Nicola De Cao
  2. Wengong Jin
  3. Thomas Kipf
  4. Qi Liu
  5. Zaccary Alperstein
  6. Kevin Yang

Papers from Abir De's perspective

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

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

Their papers