Biplab Banerjee

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 332 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Biplab Banerjee trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Kaiming He
  6. Ilya Sutskever
  7. Yann LeCun
  8. Oriol Vinyals
  9. Jimmy Ba
  10. Ross B. Girshick

Who trusts Biplab Banerjee overall

  1. Valerio Marsocci
  2. Jaya Kalla

Papers from Biplab Banerjee's perspective

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

Their papers