Anirbit Mukherjee

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Anirbit Mukherjee trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yurii E. Nesterov
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Sergey Ioffe
  10. Yann LeCun

Who trusts Anirbit Mukherjee overall

  1. Matthias Hein
  2. Francesco Croce

Papers from Anirbit Mukherjee's perspective

Ordered by how strongly the researchers Anirbit Mukherjee 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers