Gargi Ghosh

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 9 papers; trusts 425 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Gargi Ghosh trusts overall

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

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

Who trusts Gargi Ghosh overall

  1. Armen Aghajanyan
  2. Yi Wang
  3. Junting Pan

Papers from Gargi Ghosh's perspective

Ordered by how strongly the researchers Gargi Ghosh 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. 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers