Dipankar Das

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 11 papers; trusts 140 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Dipankar Das trusts overall

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

  1. Yoshua Bengio
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Matthieu Courbariaux
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Yann LeCun
  9. Alex Graves
  10. Andrew Y. Ng

Who trusts Dipankar Das overall

  1. Tailin Liang
  2. Elad Hoffer
  3. Naveen Mellempudi
  4. By Lei Deng
  5. Ron Banner
  6. Asit K. Mishra
  7. Erik Cambria
  8. Feng Zhu

Papers from Dipankar Das's perspective

Ordered by how strongly the researchers Dipankar Das 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers