Anirban Chakraborty

Artificial Intelligence · with Alam · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anirban Chakraborty trusts overall

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

  1. Nicolas Papernot
  2. Geoffrey E. Hinton
  3. Ian J. Goodfellow
  4. Christian Szegedy
  5. Sergey Ioffe
  6. Yann LeCun
  7. Nicholas Carlini
  8. Patrick Drew McDaniel
  9. Yoshua Bengio
  10. Alex Krizhevsky

Who trusts Anirban Chakraborty overall

  1. Avishek Joey Bose
  2. Linyang Li

Papers from Anirban Chakraborty's perspective

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

Their papers